19.4.6 Restoration from Blurred Images, Motion Blur

Ben-Ezra, M.[Moshe], Nayar, S.K.[Shree K.],
Motion-Based Motion Deblurring,
PAMI(26), No. 6, June 2004, pp. 689-698.
IEEE Abstract. 0404
BibRef
Earlier:
Motion Deblurring Using Hybrid Imaging,
CVPR03(I: 657-664).
IEEE DOI 0307
Motion blur can be removed by deconvolution if the PSF is known. Construct a stabilized camera that measures its motion, computes a PSF and uses it to deblur the image. Works for a wider range than standard camera stabilization systems. BibRef

Rav-Acha, A.[Alex], Peleg, S.[Shmuel],
Two motion-blurred images are better than one,
PRL(26), No. 3, February 2005, pp. 311-317.
Elsevier DOI 0501
BibRef
Earlier:
Restoration of Multiple Images with Motion Blur in Different Directions,
WACV00(22-28).
IEEE DOI 0010
BibRef

Moghaddam, M.E.[Mohsen Ebrahimi], Jamzad, M.[Mansour],
Motion blur identification in noisy images using mathematical models and statistical measures,
PR(40), No. 7, July 2007, pp. 1946-1957.
Elsevier DOI 0704
Motion blur, Blur identification, Radon transform, Bispectrum; Mathematical models
See also Out of focus blur estimation using genetic algorithm. BibRef

Moghaddam, M.E.[Mohsen Ebrahimi], Jamzad, M.[Mansour], Mahini, H.R.[Hamid Reza],
Motion Blur Identification in Noisy Images Using Feed-Forward Back Propagation Neural Network,
IWICPAS06(369-376).
Springer DOI 0608
BibRef

Wang, S.G.[Shi-Gang], Guan, B.Q.[Bai-Qing], Wang, G.B.[Guo-Bao], Li, Q.[Qian],
Measurement of sinusoidal vibration from motion blurred images,
PRL(28), No. 9, 1 July 2007, pp. 1029-1040.
Elsevier DOI 0704
Vibration measurement, Motion blur, Motion blurred image, Geometric moment BibRef

Ojansivu, V.[Ville], Heikkilä, J.[Janne],
Image Registration Using Blur-Invariant Phase Correlation,
SPLetters(14), No. 7, July 2007, pp. 449-452.
IEEE DOI 0707
BibRef
And:
Object Recognition Using Frequency Domain Blur Invariant Features,
SCIA07(243-252).
Springer DOI 0706
BibRef
Earlier:
Motion Blur Concealment of Digital Video Using Invariant Features,
ACIVS06(35-45).
Springer DOI 0609
BibRef

Ojansivu, V.[Ville], Rahtu, E.[Esa], Heikkila, J.[Janne],
Rotation invariant local phase quantization for blur insensitive texture analysis,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Heikkilä, J.[Janne], Ojansivu, V.[Ville],
Methods for local phase quantization in blur-insensitive image analysis,
LNLA09(104-111).
IEEE DOI 0908
BibRef

Päivärinta, J.[Juhani], Rahtu, E.[Esa], Heikkilä, J.[Janne],
Volume Local Phase Quantization for Blur-Insensitive Dynamic Texture Classification,
SCIA11(360-369).
Springer DOI 1105
BibRef

Rahtu, E.[Esa], Heikkilä, J.[Janne], Ojansivu, V.[Ville], Ahonen, T.[Timo],
Local phase quantization for blur-insensitive image analysis,
IVC(30), No. 8, August 2012, pp. 501-512.
Elsevier DOI 1209
Feature extraction, Invariant features, Blur invariance, Texture recognition, Face recognition BibRef

Ojansivu, V.[Ville], Heikkilä, J.[Janne],
Weighted DFT Based Blur Invariants for Pattern Recognition,
SCIA09(71-80).
Springer DOI 0906
BibRef
Earlier:
Blur Insensitive Texture Classification Using Local Phase Quantization,
ICISP08(236-243).
Springer DOI 0807
BibRef
And:
A Method for Blur and Affine Invariant Object Recognition Using Phase-Only Bispectrum,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef
Earlier:
A Method for Blur and Similarity Transform Invariant Object Recognition,
CIAP07(583-588).
IEEE DOI 0709
BibRef

Pedone, M.[Matteo], Heikkilä, J.[Janne],
Blur and Contrast Invariant Fast Stereo Matching,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Šorel, M.[Michal], Flusser, J.[Jan],
Space-Variant Restoration of Images Degraded by Camera Motion Blur,
IP(17), No. 2, February 2008, pp. 105-116.
IEEE DOI 0801
BibRef
Earlier:
Restoration of Color Images Degraded by Space-Variant Motion Blur,
CAIP07(450-457).
Springer DOI 0708
BibRef

Har-Noy, S.[Shay], Nguyen, T.Q.[Truong Q.],
LCD Motion Blur Reduction: A Signal Processing Approach,
IP(17), No. 2, February 2008, pp. 117-125.
IEEE DOI 0801
BibRef
Earlier:
A Deconvolution Method for LCD Motion Blur Reduction,
ICIP06(629-632).
IEEE DOI 0610
BibRef

Har-Noy, S.[Shay], Nguyen, T.Q.[Truong Q.],
LCD motion blur reduction using fir filter banks,
ICIP09(1305-1308).
IEEE DOI 0911
BibRef

Har-Noy, S., Martinez, E., Nguyen, T.Q.,
Filter banks for improved LCD motion,
SP:IC(25), No. 1, January 2010, pp. 1-9.
Elsevier DOI 1001
Deconvolution, Filter bank, Video processing, Human visual system; Flat panel displays, Liquid crystal displays BibRef

Ishida, H.[Hiroyuki], Takahashi, T.[Tomokazu], Ide, I.[Ichiro], Mekada, Y.[Yoshito], Murase, H.[Hiroshi],
Recognition of camera-captured low-quality characters using motion blur information,
PR(41), No. 7, July 2008, pp. 2253-2262.
Elsevier DOI 0804
Motion blur, Digital camera, Low-quality character, Character recognition, Generative learning method BibRef

Jung, S.W., Kim, T.H., Ko, S.J.,
A Novel Multiple Image Deblurring Technique Using Fuzzy Projection onto Convex Sets,
SPLetters(16), No. 3, March 2009, pp. 192-195.
IEEE DOI 0903

See also Depth Map Based Image Enhancement Using Color Stereopsis. BibRef

Zeng, G.S.L.[Geng-Sheng L.],
Compensating for nonstationary blurring by further blurring and deconvolution,
IJIST(19), No. 3, September 2009, pp. 221-226.
DOI Link 0909
BibRef

Lin, H.T.[Hai Ting], Tai, Y.W.[Yu-Wing], Brown, M.S.,
Motion Regularization for Matting Motion Blurred Objects,
PAMI(33), No. 11, November 2011, pp. 2329-2336.
IEEE DOI 1110
The object boundary is not precise (multiple pixels rather than fractional pixel). BibRef

Yun, S.[Sangwoon], Woo, H.[Hyenkyun],
Linearized proximal alternating minimization algorithm for motion deblurring by nonlocal regularization,
PR(44), No. 6, June 2011, pp. 1312-1326.
Elsevier DOI 1102
Convex optimization, Nonlocal, Total variation, Motion deblurring; Deconvolution, Regularization, Alternating minimization BibRef

Boracchi, G., Foi, A.,
Uniform Motion Blur in Poissonian Noise: Blur/Noise Tradeoff,
IP(20), No. 2, February 2011, pp. 592-598.
IEEE DOI 1102
BibRef

Boracchi, G., Foi, A.,
Modeling the Performance of Image Restoration From Motion Blur,
IP(21), No. 8, August 2012, pp. 3502-3517.
IEEE DOI 1208
BibRef

Dash, R.[Ratnakar], Sa, P.K.[Pankaj Kumar], Majhi, B.[Banshidhar],
Spatial variant motion deblurring of images,
IJCVR(2), No. 1, 2011, pp. 80-88.
DOI Link 1104
BibRef

Dardi, F.[Francesca], Abate, L.[Leonardo], Stessen, J.[Jeroen], Ramponi, G.[Giovanni],
Causes and subjective evaluation of blurriness in video frames,
SP:IC(28), No. 3, March 2013, pp. 209-221.
Elsevier DOI 1303
Blurriness, Coding artifacts, Visual attention, Video quality estimation BibRef

Abate, L.[Leonardo], Ramponi, G.[Giovanni], Stessen, J.[Jeroen],
Detection and measurement of the blocking artifact in decoded video frames,
SIViP(7), No. 3, May 2013, pp. 453-466. 1305
BibRef

Wang, C., Sun, L., Cui, P., Zhang, J., Yang, S.,
Analyzing Image Deblurring Through Three Paradigms,
IP(21), No. 1, January 2012, pp. 115-129.
IEEE DOI 1112
BibRef

Chen, X.G.[Xiao-Gang], Yang, J.[Jie], Wu, Q.A.[Qi-Ang], Zhao, J.J.[Jia-Jia], He, X.J.[Xiang-Jian],
Directional high-pass filter for blurry image analysis,
SP:IC(27), No. 7, August 2012, pp. 760-771.
Elsevier DOI 1208
Image motion blur, Out-of-focus blur, Image restoration, Image frequency analysis BibRef

Chae, S.M.[Seok-Min], Song, I.H.[In-Ho], Lee, S.H.[Sung-Hak], Sohng, K.I.[Kyu-Ik],
Evaluation of Motion Blur Considering Temporal Frequency Characteristics of Video Camera and LCD Systems,
IEICE(E95-D), No. 7, July 2012, pp. 1823-1826.
WWW Link. 1208
BibRef

Je, C.S.[Chang-Soo], Jeon, H.S.[Hyeon Sang], Son, C.H.[Chang-Hwan], Park, H.M.[Hyung-Min],
Disparity-based space-variant image deblurring,
SP:IC(28), No. 7, 2013, pp. 792-808.
Elsevier DOI 1307
Image deblurring BibRef

Pan, J.S.[Jin-Shan], Su, Z.X.[Zhi-Xun],
Fast L_0-Regularized Kernel Estimation for Robust Motion Deblurring,
SPLetters(20), No. 9, 2013, pp. 841-844.
IEEE DOI 1308
BibRef

Zhong, S.H.[Sheng-Hua], Liu, Y.[Yan], Liu, Y., Li, C.S.,
Water Reflection Recognition Based on Motion Blur Invariant Moments in Curvelet Space,
IP(22), No. 11, 2013, pp. 4301-4313.
IEEE DOI 1310
Water reflection BibRef

Zhong, S.H.[Sheng-Hua], Liu, Y.[Yan], Shao, L.[Ling], Chung, F.L.[Fu-Lai],
Water reflection recognition via minimizing reflection cost based on motion blur invariant moments,
ICMR11(5).
DOI Link 1301
BibRef

Zhang, C.Y.[Chong-Yang], Lin, W.Y.[Wei-Yao], Li, W.[Wei], Zhou, B.[Bing], Xie, J.[Jun], Li, J.J.[Ji-Jia],
Improved image deblurring based on salient-region segmentation,
SP:IC(28), No. 9, 2013, pp. 1171-1186.
Elsevier DOI 1310
Image deblurring BibRef

Pan, J.S.[Jin-Shan], Liu, R.S.[Ri-Sheng], Su, Z.X.[Zhi-Xun], Gu, X.F.[Xian-Feng],
Kernel estimation from salient structure for robust motion deblurring,
SP:IC(28), No. 9, 2013, pp. 1156-1170.
Elsevier DOI 1310
Motion deblurring BibRef

Liu, Q., Liang, D., Song, Y., Luo, J., Zhu, Y., Li, W.,
Augmented Lagrangian-Based Sparse Representation Method with Dictionary Updating for Image Deblurring,
SIIMS(6), No. 3, 2013, pp. 1689-1718.
DOI Link 1310
BibRef

Pan, X.[Xiang], Ye, Y.Q.[Yong-Qiang], Wang, J.H.[Jian-Hong],
Fractional directional derivative and identification of blur parameters of motion-blurred image,
SIViP(8), No. 3, March 2014, pp. 565-576.
WWW Link. 1403
BibRef

Oh, S.C.[Sung-Chan], Kim, G.H.[Gyeong-Hwan],
Robust Estimation of Motion Blur Kernel Using a Piecewise-Linear Model,
IP(23), No. 3, March 2014, pp. 1394-1407.
IEEE DOI 1403
image denoising BibRef

Wang, W.[Wei], Zheng, J.J.[Jin-Jin], Zhou, H.J.[Hong-Jun],
Segmenting, removing and ranking partial blur,
SIViP(8), No. 4, May 2014, pp. 647-655.
WWW Link. 1404
BibRef

O'Connor, D.[Daniel], Vandenberghe, L.[Lieven],
Primal-Dual Decomposition by Operator Splitting and Applications to Image Deblurring,
SIIMS(7), No. 3, 2014, pp. 1724-1754.
DOI Link 1410
BibRef

Iwai, D., Kodama, K., Sato, K.,
Reducing Motion Blur Artifact of Foveal Projection for a Dynamic Focus-Plus-Context Display,
CirSysVideo(25), No. 4, April 2015, pp. 547-556.
IEEE DOI 1504
Dynamics BibRef

Shao, W.Z.[Wen-Ze], Ge, Q.[Qi], Deng, H.S.[Hai-Song], Wei, Z.H.[Zhi-Hui], Li, H.B.[Hai-Bo],
Motion Deblurring Using Non-stationary Image Modeling,
JMIV(52), No. 2, June 2015, pp. 234-248.
Springer DOI 1505
BibRef

Liu, S.G.[Shao-Guo], Wang, H.B.[Hai-Bo], Wang, J.[Jue], Cho, S.H.[Sung-Hyun], Pan, C.H.[Chun-Hong],
Automatic blur-kernel-size estimation for motion deblurring,
VC(31), No. 5, May 2015, pp. 733-746.
WWW Link. 1505
BibRef

Wang, H.Z.[Hong-Zhen], Liu, Z.K.[Zi-Kun], Wang, L.F.[Ling-Feng], Weng, L.[Lubin], Pan, C.H.[Chun-Hong],
Objectness estimation using edges,
ICIP15(4136-4140)
IEEE DOI 1512
Objectness, boxes, edges, object proposals BibRef

Welk, M.[Martin], Raudaschl, P.[Patrik], Schwarzbauer, T.[Thomas], Erler, M.[Martin], Läuter, M.[Martin],
Fast and Robust linear motion deblurring,
SIViP(9), No. 5, July 2015, pp. 1221-1234.
Springer DOI 1506
BibRef

Liu, H.F.[Hai-Feng], Sun, X.Y.[Xiao-Yan], Fang, L.[Lu], Wu, F.[Feng],
Deblurring Saturated Night Image With Function-Form Kernel,
IP(24), No. 11, November 2015, pp. 4637-4650.
IEEE DOI 1509
Cameras BibRef

Fang, L.[Lu], Liu, H.F.[Hai-Feng], Wu, F.[Feng], Sun, X.Y.[Xiao-Yan], Li, H.Q.[Hou-Qiang],
Separable Kernel for Image Deblurring,
CVPR14(2885-2892)
IEEE DOI 1409
Deblurring, Random Perturbation, Separable Kernel, Trajectory BibRef

Bhotto, M.Z.A.[Md. Zulfiquar Ali], Ahmad, M.O.[M. Omair], Swamy, M.N.S.,
An Improved Fast Iterative Shrinkage Thresholding Algorithm for Image Deblurring,
SIIMS(8), No. 3, 2015, pp. 1640-1657.
DOI Link 1511
BibRef

Chen, K., Loli Piccolomini, E.[Elena], Zama, F.[Fabiana],
Iterative Constrained Minimization for Vectorial TV Image Deblurring,
JMIV(54), No. 2, February 2016, pp. 240-255.
WWW Link. 1602
BibRef

Cascarano, P.[Pasquale], Corsini, F.[Francesco], Gandolfi, S.[Stefano], Piccolomini, E.L.[Elena Loli], Mandanici, E.[Emanuele], Tavasci, L.[Luca], Zama, F.[Fabiana],
Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Ren, F.Q.[Fu-Quan], Qiu, T.S.[Tian-Shuang],
Spatio-temporal mean curvature based image sequence restoration,
IET-IPR(10), No. 5, 2016, pp. 359-370.
DOI Link 1604
image denoising BibRef

Liu, S.G.[Shao-Guo], Wang, H.B.[Hai-Bo], Wang, J.[Jue], Pan, C.H.[Chun-Hong],
Blur-Kernel Bound Estimation From Pyramid Statistics,
CirSysVideo(26), No. 5, May 2016, pp. 1012-1016.
IEEE DOI 1605
Estimation BibRef

Yu, H., Qian, X., Guo, M., Chen, S.,
An Antivibration Time-Delay Integration CMOS Image Sensor With Online Deblurring Algorithm,
CirSysVideo(26), No. 8, August 2016, pp. 1544-1554.
IEEE DOI 1609
CMOS image sensors BibRef

Sieberth, T.[Till], Wackrow, R.[Rene], Chandler, J.H.[Jim H.],
Automatic detection of blurred images in UAV image sets,
PandRS(122), No. 1, 2016, pp. 1-16.
Elsevier DOI 1612
BibRef
Earlier:
Automatic Isolation of Blurred Images from UAV Image Sequences,
UAV-g13(361-366).
DOI Link 1311
Automation BibRef

Javaran, T.A.[Taiebeh Askari], Hassanpour, H.[Hamid], Abolghasemi, V.[Vahid],
Automatic estimation and segmentation of partial blur in natural images,
VC(33), No. 2, February 2017, pp. 151-161.
Springer DOI 1702
BibRef

Javaran, T.A.[Taiebeh Askari], Hassanpour, H.[Hamid], Abolghasemi, V.[Vahid],
Local motion deblurring using an effective image prior based on both the first- and second-order gradients,
MVA(28), No. 3-4, May 2017, pp. 431-444.
WWW Link. 1704
BibRef

Kumar, A.[Ahlad],
Deblurring of motion blurred images using histogram of oriented gradients and geometric moments,
SP:IC(55), No. 1, 2017, pp. 55-65.
Elsevier DOI 1705
Image, deblurring BibRef

Jeon, H.G.[Hae-Gon], Lee, J.Y.[Joon-Young], Han, Y.[Yudeog], Kim, S.J.[Seon Joo], Kweon, I.S.[In So],
Generating Fluttering Patterns with Low Autocorrelation for Coded Exposure Imaging,
IJCV(123), No. 2, June 2017, pp. 269-286.
Springer DOI 1705
BibRef

Seibold, C.[Clemens], Hilsmann, A.[Anna], Eisert, P.[Peter],
Model-based motion blur estimation for the improvement of motion tracking,
CVIU(160), No. 1, 2017, pp. 45-56.
Elsevier DOI 1706
Motion, blur BibRef

Xiong, J.J.[Jiao-Jiao], Liu, Q.[Qiegen], Wang, Y.H.[Yu-Hao], Xu, X.L.[Xiao-Ling],
A two-stage convolutional sparse prior model for image restoration,
JVCIR(48), No. 1, 2017, pp. 268-280.
Elsevier DOI 1708
Image deblurring BibRef

Yue, T., Suo, J., Cao, X., Dai, Q.,
Efficient Method for High-Quality Removal of Nonuniform Blur in the Wavelet Domain,
CirSysVideo(27), No. 9, September 2017, pp. 1869-1881.
IEEE DOI 1709
Computational modeling, Deconvolution, Image reconstruction, Kernel, Matrix decomposition, Wavelet domain, Wavelet transforms, Deblur, nonblind, nonuniform, wavelet BibRef

Xu, X., Pan, J., Zhang, Y.J., Yang, M.H.,
Motion Blur Kernel Estimation via Deep Learning,
IP(27), No. 1, January 2018, pp. 194-205.
IEEE DOI 1712
image enhancement, image filtering, image restoration, learning (artificial intelligence), neural nets, blurred images, sharp edges BibRef

Li, W.B.[Wen-Bin], Chen, D.[Da], Lv, Z.H.[Zhi-Han], Yan, Y.[Yan], Cosker, D.[Darren],
Learn to model blurry motion via directional similarity and filtering,
PR(75), No. 1, 2018, pp. 327-338.
Elsevier DOI 1712
Optical flow BibRef

Lin, T.C., Hou, L., Liu, H., Li, Y., Truong, T.K.,
Reconstruction of Single Image from Multiple Blurry Measured Images,
IP(27), No. 6, June 2018, pp. 2762-2776.
IEEE DOI 1804
autonomous aerial vehicles, deconvolution, image matching, image reconstruction, image representation, image restoration, joint estimation BibRef

Le Blanc, J.W.[Joel W.], Thelen, B.J.[Brian J.], Hero, A.O.[Alfred O.],
Joint camera blur and pose estimation from aliased data,
JOSA-A(35), No. 4, April 2018, pp. 639-651.
DOI Link 1804
Image reconstruction-restoration, Inverse problems, Optical transfer functions, Testing, Calibration, Information theoretical analysis BibRef

Lahouli, I.[Ichraf], Haelterman, R.[Robby], Degroote, J.[Joris], Shimoni, M.[Michal], de Cubber, G.[Geert], Attia, R.[Rabah],
Accelerating Existing Non-Blind Image Deblurring Techniques through a Strap-On Limited-Memory Switched Broyden Method,
IEICE(E101-D), No. 5, May 2018, pp. 1288-1295.
WWW Link. 1805
BibRef
Earlier: A2, A1, A4, A3, Only:
Limited memory switched Broyden method for faster image deblurring,
MVA17(366-369)
DOI Link 1708
Acceleration, Convergence, History, Image restoration, Iterative methods, Organizations, Switches BibRef

Chang, C.F.[Chia-Feng], Wu, J.L.[Jiunn-Lin], Chen, K.J.[Kuan-Jen],
A Hybrid Motion Deblurring Strategy Using Patch Based Edge Restoration and Bilateral Filter,
JMIV(60), No. 7, September 2018, pp. 1081-1094.
WWW Link. 1808
BibRef

Yoon, S.J.[Sung-Jun], Kim, H.H.[Hyun-Ho], Kim, M.C.[Mun-Churl],
Hierarchical Extended Bilateral Motion Estimation-Based Frame Rate Upconversion Using Learning-Based Linear Mapping,
IP(27), No. 12, December 2018, pp. 5918-5932.
IEEE DOI 1810
Motion estimation, Reliability, Interpolation, Visualization, UHDTV, Video sequences, Computational complexity, linear mapping based motion deblur BibRef

Komander, B.[Birgit], Lorenz, D.A.[Dirk A.], Vestweber, L.[Lena],
Denoising of Image Gradients and Total Generalized Variation Denoising,
JMIV(61), No. 1, January 2019, pp. 21-39.
Springer DOI
WWW Link. 1901
BibRef
Earlier: A1, A2, Only:
Denoising of Image Gradients and Constrained Total Generalized Variation,
SSVM17(435-446).
Springer DOI 1706
BibRef

Laue, E.[Eileen], Lorenz, D.A.[Dirk A.],
Variational Methods for Motion Deblurring with Still Background,
SSVM13(74-85).
Springer DOI 1305
BibRef

Li, L.[Lerenhan], Sang, N.[Nong], Yan, L.X.[Lu-Xin], Gao, C.X.[Chang-Xin],
Motion-blur kernel size estimation via learning a convolutional neural network,
PRL(119), 2019, pp. 86-93.
Elsevier DOI 1902
Image deblurring, Kernel size estimation, Convolutional neural network, Deep learning BibRef

Chang, Y.[Yanfen],
Research on de-motion blur image processing based on deep learning,
JVCIR(60), 2019, pp. 371-379.
Elsevier DOI 1903
Deep learning, Image processing, Blurred image BibRef

El-Shekheby, S.[Shereen], Abdel-Kader, R.F.[Rehab F.], Zaki, F.W.[Fayez W.],
Spatially varying blur estimation from a single image,
IET-IPR(13), No. 5, 18 April 2019, pp. 746-753.
DOI Link 1904
BibRef

Gultekin, G.K.[Gokhan Koray], Saranli, A.[Afsar],
Feature Detection Performance Based Benchmarking of Motion Deblurring Methods: Applications to Vision for Legged Robots,
IVC(82), 2019, pp. 26-38.
Elsevier DOI 1904
Feature detection, Motion blur, Motion deblurring, Blur metric, Legged locomotion, Robotics, Computer vision dataset BibRef

Kapuriya, B.R., Pradhan, D.[Debasish], Sharma, R.[Reena],
Detection and restoration of multi-directional motion blurred objects,
SIViP(13), No. 5, July 2019, pp. 1001-1010.
WWW Link. 1906
BibRef

Gultekin, G.K.[Gokhan Koray], Saranli, A.[Afsar],
Multi-Frame motion deblurring of video using the natural oscillatory motion of dexterous legged robots,
IET-IPR(13), No. 9, 18 July 2019, pp. 1502-1508.
DOI Link 1907
BibRef

Alvarez-Gila, A.[Aitor], Galdran, A.[Adrian], Garrote, E.[Estibaliz], van de Weijer, J.[Joost],
Self-supervised blur detection from synthetically blurred scenes,
IVC(92), 2019, pp. 103804.
Elsevier DOI 1912
Blur detection, Defocus blur, Motion blur, Deep learning, Self-supervised learning, Synthetic BibRef

Li, L., Pan, J., Lai, W., Gao, C., Sang, N., Yang, M.,
Dynamic Scene Deblurring by Depth Guided Model,
IP(29), 2020, pp. 5273-5288.
IEEE DOI 2004
Image restoration, Kernel, Convolution, Feature extraction, Estimation, Cameras, Heuristic algorithms, Image deblurring, scene depth BibRef

Lim, S., Kim, J., Kim, W.,
Deep Spectral-Spatial Network for Single Image Deblurring,
SPLetters(27), 2020, pp. 835-839.
IEEE DOI 2006
Image restoration, Image edge detection, Kernel, Spatial resolution, Mathematical model, Decoding, cascaded scheme BibRef

Cai, J., Zuo, W., Zhang, L.,
Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring,
IP(29), 2020, pp. 6885-6897.
IEEE DOI 2007
Image restoration, Kernel, Network architecture, Optimization, Machine learning, Training, Convolutional neural networks, multi-scale strategy BibRef

Luo, Y.[Yao], Duan, Z.H.[Zhong-Hui], Tang, J.H.[Jin-Hui],
Bi-branch network for dynamic scene deblurring,
CVIU(202), 2021, pp. 103100.
Elsevier DOI 2012
Efficient motion deblurring, Network decomposition, Layer factorization, Nonlocal fusion BibRef

Koh, J.H.[Jai-Hyun], Lee, J.H.[Jang-Ho], Yoon, S.[Sungroh],
Single-image deblurring with neural networks: A comparative survey,
CVIU(203), 2021, pp. 103134.
Elsevier DOI 2101
Survey, Deblurring. Deep learning, Image deblurring, Image restoration, Neural network BibRef

Dong, J., Pan, J.,
Deep Outlier Handling for Image Deblurring,
IP(30), 2021, pp. 1799-1811.
IEEE DOI 2101
Image restoration, Kernel, Optimization, Reliability, Image edge detection, Anomaly detection, Prediction algorithms, deep convolutional neural networks BibRef

Mohan, M.R.M.[M. R. Mahesh], Nithin, G.K., Rajagopalan, A.N.,
Deep Dynamic Scene Deblurring for Unconstrained Dual-Lens Cameras,
IP(30), 2021, pp. 4479-4491.
IEEE DOI 2104
Cameras, Dynamics, Deep learning, Motion segmentation, Feature extraction, Superresolution, Standards, scale-space BibRef

Mohan, M.R.M.[M.R. Mahesh], Girish, S.[Sharath], Ambasamudram, R.[Rajagopalan],
Unconstrained Motion Deblurring for Dual-Lens Cameras,
ICCV19(7869-7878)
IEEE DOI 2004
cameras, image motion analysis, image restoration, lenses, ubiquitous phenomenon, photographic applications, Coherence BibRef

Zhang, T.L.[Tian-Lin], Li, J.J.[Jin-Jiang], Hua, Z.[Zhen],
Iterative Multi-Scale Residual Network for Deblurring,
IET-IPR(15), No. 8, 2021, pp. 1583-1595.
DOI Link 2106
BibRef

Wen, Y.[Yang], Chen, J.[Jie], Sheng, B.[Bin], Chen, Z.H.[Zhi-Hua], Li, P.[Ping], Tan, P.[Ping], Lee, T.Y.[Tong-Yee],
Structure-Aware Motion Deblurring Using Multi-Adversarial Optimized CycleGAN,
IP(30), 2021, pp. 6142-6155.
IEEE DOI 2107
Image edge detection, Kernel, Image restoration, Estimation, Training data, Generative adversarial networks, edge refinement BibRef

Wang, P.[Pei], Sun, W.[Wei], Yan, Q.S.[Qing-Sen], Niu, A.[Axi], Li, R.[Rui], Zhu, Y.[Yu], Sun, J.Q.[Jin-Qiu], Zhang, Y.N.[Yan-Ning],
Non-uniform motion deblurring with blurry component divided guidance,
PR(120), 2021, pp. 108082.
Elsevier DOI 2109
Non-uiniform deblurring, Component divided, Attention mechanism BibRef

Li, J.[Jichun], Yan, B.[Bo], Lin, Q.[Qing], Li, A.[Ang], Ma, C.X.[Chen-Xi],
Motion Blur Removal With Quality Assessment Guidance,
MultMed(23), 2021, pp. 2986-2997.
IEEE DOI 2109
Task analysis, Image restoration, Measurement, Kernel, Optimization, Quality assessment, Convolution, Deep learning, task-driven BibRef

Jung, H.[Hyungjoo], Kim, Y.[Youngjung], Jang, H.[Hyunsung], Ha, N.[Namkoo], Sohn, K.H.[Kwang-Hoon],
Multi-Task Learning Framework for Motion Estimation and Dynamic Scene Deblurring,
IP(30), 2021, pp. 8170-8183.
IEEE DOI 2110
Kernel, Dynamics, Task analysis, Cameras, Motion estimation, Image restoration, Estimation, Motion blur, multi-task learning BibRef

Peng, Y.[Yeping], Tang, Z.[Zhen], Zhao, G.[Genping], Cao, G.Z.[Guang-Zhong], Wu, C.[Chao],
Motion Blur Removal for UAV-Based Wind Turbine Blade Images Using Synthetic Datasets,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Varghese, N.[Nisha], Mahesh Mohan, M.R., Rajagopalan, A.N.,
Fast Motion-Deblurring of IR Images,
SPLetters(29), 2022, pp. 459-463.
IEEE DOI 2202
Cameras, Real-time systems, Estimation, Table lookup, Kernel, Trajectory, Mathematical models, Blur-kernel, gimbal based imaging, video surveillance BibRef

Li, Y.W.[Yao-Wei], Pan, J.S.[Jin-Shan], Luo, Y.[Ye], Lu, J.W.[Jian-Wei],
Deep Ranking Exemplar-Based Dynamic Scene Deblurring,
IP(31), 2022, pp. 2245-2256.
IEEE DOI 2203
Image restoration, Feature extraction, Correlation, Kernel, Superresolution, Task analysis, Convolutional neural networks, deep convolutional neural networks BibRef

Shen, Z.W.[Zheng-Wei],
Non-convex nonlocal adaptive tight frame image deblurring,
IET-IPR(16), No. 7, 2022, pp. 1908-1923.
DOI Link 2205
BibRef

Ren, W.Q.[Wen-Qi], Zhang, J.W.[Jia-Wei], Pan, J.S.[Jin-Shan], Liu, S.F.[Si-Fei], Ren, J.S.[Jimmy S.], Du, J.P.[Jun-Ping], Cao, X.C.[Xiao-Chun], Yang, M.H.[Ming-Hsuan],
Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks,
PAMI(44), No. 8, August 2022, pp. 3974-3987.
IEEE DOI 2207
Kernel, Dynamics, Heuristic algorithms, Motion segmentation, Image segmentation, Image restoration, Estimation, recurrent neural network BibRef

Zhang, J.W.[Jia-Wei], Pan, J.S.[Jin-Shan], Ren, J.S.[Jimmy S.], Song, Y.B.[Yi-Bing], Bao, L.C.[Lin-Chao], Lau, R.W.H.[Rynson W.H.], Yang, M.H.[Ming-Hsuan],
Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks,
CVPR18(2521-2529)
IEEE DOI 1812
Kernel, Heuristic algorithms, Dynamics, Image restoration, Image segmentation, Recurrent neural networks BibRef

Dong, C.Q.[Chao-Qun], Sroubek, F.[Filip], Portilla, J.[Javier],
Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods,
IPOL(12), 2022, pp. 218--346.
DOI Link 2208
Code, Deblurring. BibRef

Zhang, K.H.[Kai-Hao], Ren, W.Q.[Wen-Qi], Luo, W.H.[Wen-Han], Lai, W.S.[Wei-Sheng], Stenger, B.[Björn], Yang, M.H.[Ming-Hsuan], Li, H.D.[Hong-Dong],
Deep Image Deblurring: A Survey,
IJCV(130), No. 9, September 2022, pp. 2103-2130.
Springer DOI 2208
BibRef

Zhang, K.H.[Kai-Hao], Luo, W.H.[Wen-Han], Zhong, Y.R.[Yi-Ran], Ma, L.[Lin], Stenger, B.[Björn], Liu, W.[Wei], Li, H.D.[Hong-Dong],
Deblurring by Realistic Blurring,
CVPR20(2734-2743)
IEEE DOI 2008
Image restoration, Generators, Kernel, Training, Machine learning, Task analysis BibRef

Cui, J.[Jinkai], Li, W.H.[Wei-Hong], Guo, W.[Wei], Gong, W.G.[Wei-Guo],
Progressive downsampling and adaptive guidance networks for dynamic scene deblurring,
PR(132), 2022, pp. 108988.
Elsevier DOI 2209
Progressive downsampling, Adaptive guidance, Blended activation, Multisupervision, Dynamic scene deblurring BibRef

Belyaev, A.G.[Alexander G.], Fayolle, P.A.[Pierre-Alain],
Black-box image deblurring and defiltering,
SP:IC(108), 2022, pp. 116833.
Elsevier DOI 2209
Deblurring, Defiltering, Reverse filtering BibRef

Zhao, S.M.[Sheng-Min], Oh, S.K.[Sung-Kwun], Kim, J.Y.[Jin-Yul], Fu, Z.W.[Zun-Wei], Pedrycz, W.[Witold],
Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks,
PR(132), 2022, pp. 108983.
Elsevier DOI 2209
Motion-blurred image restoration framework, Point spread function, Image Quality Assessment BibRef

Tsai, F.J.[Fu-Jen], Peng, Y.T.[Yan-Tsung], Tsai, C.C.[Chung-Chi], Lin, Y.Y.[Yen-Yu], Lin, C.W.[Chia-Wen],
BANet: A Blur-Aware Attention Network for Dynamic Scene Deblurring,
IP(31), 2022, pp. 6789-6799.
IEEE DOI 2211
Image restoration, Convolution, Feature extraction, Correlation, Tensors, Real-time systems, Kernel, Image deblurring, region-wise pooling attention BibRef

Zhang, J.W.[Jia-Wei], Pan, J.S.[Jin-Shan], Wang, D.[Daoye], Zhou, S.C.[Shang-Chen], Wei, X.[Xing], Zhao, F.[Furong], Liu, J.B.[Jian-Bo], Ren, J.[Jimmy],
Deep Dynamic Scene Deblurring from Optical Flow,
CirSysVideo(32), No. 12, December 2022, pp. 8250-8260.
IEEE DOI 2212
Optical imaging, Convolutional neural networks, Image restoration, Heuristic algorithms, Optical fiber networks, optical flow BibRef

Gao, R.[Ruxin], Wang, T.F.[Teng-Fei],
Motion deblurring algorithm for wind power inspection images based on Ghostnet and SE attention mechanism,
IET-IPR(17), No. 1, 2023, pp. 291-300.
DOI Link 2301
BibRef

Zhang, H.G.[Hong-Guang], Zhang, L.M.[Li-Meng], Dai, Y.C.[Yu-Chao], Li, H.D.[Hong-Dong], Koniusz, P.[Piotr],
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring,
IJCV(131), No. 2, February 2023, pp. 453-470.
Springer DOI 2301
BibRef
Earlier: A1, A3, A4, A5, Only:
Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring,
CVPR19(5971-5979).
IEEE DOI 2002
BibRef

Guo, C.[Cai], Wang, Q.[Qian], Dai, H.N.[Hong-Ning], Li, P.[Ping],
Multi-stage feature-fusion dense network for motion deblurring,
JVCIR(90), 2023, pp. 103717.
Elsevier DOI 2301
Motion deblurring, Multi-stage network, Feature-fusion dense connections, Channel-based multi-layer perceptrons BibRef

Wang, Q.[Qian], Guo, C.[Cai], Dai, H.N.[Hong-Ning], Xia, M.[Min],
Variant-Depth Neural Networks for Deblurring Traffic Images in Intelligent Transportation Systems,
ITS(24), No. 6, June 2023, pp. 5792-5802.
IEEE DOI 2306
Cameras, Image restoration, Videos, Surveillance, Kernel, Image recognition, Traffic control, variant-depth neural networks BibRef

Hao, Z.[Zeyu], Wang, H.[Hang], Zhang, X.[Xuchong], Li, Y.[Yuhai], Sun, H.B.[Hong-Bin],
Efficient multi-stage network with pixel-wise degradation prediction for real-time motion deblurring,
CVIU(233), 2023, pp. 103693.
Elsevier DOI 2307
Motion blur, Degradation, Lightweight module, Attention mechanism, Multi-scale, Compensation BibRef

Zhao, B.X.[Bing-Xin], Li, W.H.[Wei-Hong],
A domain translation network with contrastive constraint for unpaired motion image deblurring,
IET-IPR(17), No. 10, 2023, pp. 2866-2880.
DOI Link 2308
contrastive constraint loss, domain translation, unpaired motion image deblurring BibRef

Qiao, N.Z.[Nian-Zu], Sun, J.[Jia], Xu, D.[Duo], Sun, C.Y.[Chang-Yin],
Multi-patch multi-scale model for motion deblurring with high-frequency information,
CVIU(235), 2023, pp. 103770.
Elsevier DOI 2310
Multi-patch multi-scale, High-frequency information, Structure self-similarity, Underwater-Blur dataset BibRef

Hua, X.[Xia], Li, M.X.[Ming-Xin], Fei, J.X.[Jun-Xiong], Liu, J.G.[Jian-Guo], Shi, Y.[Yu], Hong, H.Y.[Han-Yu],
Dynamic scene deblurring with continuous cross-layer attention transmission,
PR(143), 2023, pp. 109719.
Elsevier DOI 2310
Image deblurring, Attention mechanism, Deep convolutional neural networks BibRef

Zhang, Y.J.[You-Jian], Wang, C.[Chaoyue], Tao, D.C.[Da-Cheng],
Neural Maximum a Posteriori Estimation on Unpaired Data for Motion Deblurring,
PAMI(45), No. 12, December 2023, pp. 15203-15218.
IEEE DOI 2311
BibRef

Ji, W.T.[Wen-Tao], Chen, X.[Xing], Li, Y.H.[Yi-Hong],
Blind motion deblurring using improved DeblurGAN,
IET-IPR(18), No. 2, 2024, pp. 327-347.
DOI Link 2402
convolutional neural nets, deburring, image motion analysis, image processing, image recognition BibRef

Zhuang, K.[Kai], Li, Q.[Qiang], Yuan, Y.[Yuan], Wang, Q.[Qi],
Multi-Domain Adaptation for Motion Deblurring,
MultMed(26), 2024, pp. 3676-3688.
IEEE DOI 2402
Meteorology, Kernel, Feature extraction, Testing, Task analysis, Deep learning, Adaptation models, Motion deblurring, meta deblurring BibRef

Zhang, D.X.[Dong-Xiao], Tang, N.[Ni], Qu, Y.[Yanyun],
Joint Motion Deblurring and Super-Resolution for Single Image Using Diffusion Model and GAN,
SPLetters(31), 2024, pp. 736-740.
IEEE DOI 2403
Feature extraction, Generative adversarial networks, Task analysis, Generators, Image restoration, Superresolution, conditional GAN BibRef

Li, S.H.[Sheng-Hao], Xia, Z.Y.[Ze-Yang], Zhao, Q.F.[Qun-Fei],
Representing Boundary-Ambiguous Scene Online With Scale-Encoded Cascaded Grids and Radiance Field Deblurring,
CirSysVideo(34), No. 4, April 2024, pp. 2026-2040.
IEEE DOI 2404
Cameras, Image reconstruction, Task analysis, Trajectory, Geometry, Rendering (computer graphics), Estimation, camera motion deblurring BibRef

Chen, K.[Kang], Yu, L.[Lei],
Motion Deblur by Learning Residual From Events,
MultMed(26), 2024, pp. 6632-6647.
IEEE DOI 2404
Cameras, Task analysis, Image reconstruction, Image restoration, Estimation, Training, Fuses, Event camera, motion deblur, residual BibRef

Chen, Z.[Ziyi], Cui, G.[Guangmang], Li, Z.[Zihan], Zhao, J.F.[Ju-Feng],
Lightweight Patch-Wise Casformer for dynamic scene deblurring,
JVCIR(100), 2024, pp. 104112.
Elsevier DOI 2405
Image deblurring, Deep separable attention, Double-Flow gate, Cascade Transformer BibRef

Song, T.S.[Tian-Shu], Li, L.[Leida], Wu, J.J.[Jin-Jian], Dong, W.S.[Wei-Sheng], Cheng, D.Q.[De-Qiang],
Quality-aware blind image motion deblurring,
PR(153), 2024, pp. 110568.
Elsevier DOI Code:
WWW Link. 2405
Image quality assessment, Motion deblurring, Knowledge embedding, Generalization BibRef

Gossard, A.[Alban], Weiss, P.[Pierre],
Training Adaptive Reconstruction Networks for Blind Inverse Problems,
SIIMS(17), No. 2, 2024, pp. 1314-1346.
DOI Link 2407
BibRef

Lin, L.Q.[Li-Qun], Wei, G.[Guangpeng], Liu, K.L.[Kang-Lin], Feng, W.[Wanjian], Zhao, T.S.[Tie-Song],
LightViD: Efficient Video Deblurring With Spatial-Temporal Feature Fusion,
CirSysVideo(34), No. 8, August 2024, pp. 7430-7439.
IEEE DOI Code:
WWW Link. 2408
Task analysis, Image restoration, Feature extraction, Computational efficiency, Kernel, Detectors, blur detection BibRef

Hu, F.[Fen], Yang, P.[Peng], Dou, J.[Jie], Dou, L.[Lei],
Detecting and tracking moving objects in defocus blur scenes,
JVCIR(103), 2024, pp. 104259.
Elsevier DOI 2409
Object tracking, Defocus blur, Blurred video tracking, Deblurring BibRef

Zhang, C.[Chi], Zhang, X.[Xiang], Lin, M.Y.[Ming-Yuan], Li, C.[Cheng], He, C.[Chu], Yang, W.[Wen], Xia, G.S.[Gui-Song], Yu, L.[Lei],
CrossZoom: Simultaneous Motion Deblurring and Event Super-Resolving,
PAMI(46), No. 12, December 2024, pp. 8209-8227.
IEEE DOI 2411
Spatial resolution, Image restoration, Streams, Signal resolution, Distortion, Task analysis, Optical flow, Motion deblurring, cross enhancement BibRef

Zhang, L.Y.[Li-Yan], Xu, B.M.[Bo-Ming], Yang, Z.[Zhongbao], Pan, J.S.[Jin-Shan],
Deblurring Videos Using Spatial-Temporal Contextual Transformer With Feature Propagation,
IP(33), 2024, pp. 6354-6366.
IEEE DOI 2411
Videos, Transformers, Feature extraction, Image restoration, Convolutional neural networks, Optical imaging, Context modeling, feature propagation BibRef

Hong, S.[Sejun], Kim, E.[Eunwoo],
NeRF-DA: Neural Radiance Fields Deblurring With Active Learning,
SPLetters(32), 2025, pp. 261-265.
IEEE DOI 2501
Cameras, Neural radiance field, Training, Entropy, Kernel, Image reconstruction, Light fields, Image edge detection, neural radiance fields (NeRFs) BibRef

Sun, L.[Lifan], Gong, B.C.[Bao-Cheng], Liu, J.F.[Jian-Feng], Gao, D.[Dan],
Visual object tracking based on adaptive deblurring integrating motion blur perception,
JVCIR(107), 2025, pp. 104388.
Elsevier DOI 2503
Visual object tracking, Adaptive deblurring, Siamese network, Motion blur perception BibRef

Qin, J.H.[Jin-Hui], Ma, Y.[Yong], Huang, J.[Jun], Cai, Z.C.[Zhan-Chuan], Fan, F.[Fan], Du, Y.[You],
An End-to-End Network for Rotary Motion Deblurring in the Polar Coordinate System,
CirSysVideo(35), No. 3, March 2025, pp. 2422-2435.
IEEE DOI Code:
WWW Link. 2503
Image restoration, Noise, Interpolation, Kernel, Convolutional neural networks, Ions, Image reconstruction, polar-to-Cartesian transformation error BibRef

Fu, Y.[Ying], Zhu, X.Y.[Xin-Yu], Li, X.J.[Xiao-Jie], Wang, X.[Xin], Wu, X.[Xi], Hu, S.[Shu], Wu, Y.[Yi], Lyu, S.W.[Si-Wei], Liu, W.[Wei],
VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring,
MultMed(27), 2025, pp. 2028-2042.
IEEE DOI 2504
Kernel, Image restoration, Bayes methods, Data models, Training, Feature extraction, Estimation, Cameras, Accuracy, generation model BibRef

Fan, H.D.[Hao-Dong], Zhang, D.[Dingyi], Yu, Y.L.[Yun-Long], Li, Y.M.[Ying-Ming],
LDINet: Latent decomposition-interpolation for single image fast-moving objects deblatting,
JVCIR(109), 2025, pp. 104439.
Elsevier DOI 2505
Motion deblurring, Fast-moving objects, Trajectory estimation, Frame interpolation, Affine transformation BibRef

Zou, R.[Rong], Pollefeys, M.[Marc], Rozumnyi, D.[Denys],
Retrieval Robust to Object Motion Blur,
ECCV24(LXXXIV: 251-268).
Springer DOI 2412
BibRef

Sun, Z.J.[Zhi-Jing], Fu, X.[Xueyang], Huang, L.Z.[Long-Zhuo], Liu, A.[Aiping], Zha, Z.J.[Zheng-Jun],
Motion Aware Event Representation-driven Image Deblurring,
ECCV24(XLVI: 418-435).
Springer DOI 2412
BibRef

Gao, X.[Xin], Qiu, T.H.[Tian-Heng], Zhang, X.Y.[Xin-Yu], Bai, H.L.[Han-Lin], Liu, K.[Kang], Huang, X.[Xuan], Wei, H.[Hu], Zhang, G.Y.[Guo-Ying], Liu, H.P.[Hua-Ping],
Efficient Multi-Scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring,
CVPR24(2733-2742)
IEEE DOI Code:
WWW Link. 2410
Deep learning, Semantics, Discrete wavelet transforms, Image restoration, Trajectory, Multi-scale BibRef

Liu, C.X.[Cheng Xu], Wang, X.[Xuan], Xu, X.Y.[Xiang-Yu], Tian, R.[Ruhao], Li, S.[Shuai], Qian, X.M.[Xue-Ming], Yang, M.H.[Ming-Hsuan],
Motion-Adaptive Separable Collaborative Filters for Blind Motion Deblurring,
CVPR24(25595-25605)
IEEE DOI Code:
WWW Link. 2410
Couplings, Codes, Motion estimation, Collaborative filtering, Collaboration, Information filters, Deblurring BibRef

Kim, T.[Taewoo], Cho, H.[Hoonhee], Yoon, K.J.[Kuk-Jin],
Frequency-Aware Event-Based Video Deblurring for Real-World Motion Blur,
CVPR24(24966-24976)
IEEE DOI Code:
WWW Link. 2410
Frequency-domain analysis, Streaming media, Cameras, Synchronization, Streams, Event camera, motion deblurring BibRef

Yang, Y.X.[Yi-Xin], Liang, J.X.[Jin-Xiu], Yu, B.[Bohan], Chen, Y.[Yan], Ren, J.S.[Jimmy S.], Shi, B.X.[Bo-Xin],
Latency Correction for Event-Guided Deblurring and Frame Interpolation,
CVPR24(24977-24986)
IEEE DOI 2410
Interpolation, Power demand, Computational modeling, Lighting, Focusing, Dynamic range, Cameras BibRef

Zhang, J.Y.[Ji-Yuan], Chen, S.Y.[Shi-Yan], Zheng, Y.J.[Ya-Jing], Yu, Z.F.[Zhao-Fei], Huang, T.J.[Tie-Jun],
Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment,
CVPR24(25047-25057)
IEEE DOI Code:
WWW Link. 2410
Vibrations, Visualization, Bidirectional control, Cameras, Spatiotemporal phenomena, Image restoration, Motion Deblurring BibRef

Kim, I.[Insoo], Choi, J.S.[Jae Seok], Seo, G.[Geonseok], Kwon, K.[Kinam], Shin, J.[Jinwoo], Lee, H.E.[Hyong-Euk],
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization,
CVPR24(25879-25888)
IEEE DOI 2410
Image segmentation, Visualization, Computational modeling, Motion segmentation, Buildings, Transforms, Motion Deblurring, Image Restoration BibRef

Spetlik, R.[Radim], Rozumnyi, D.[Denys], Matas, J.G.[Jirí G.],
Single-Image Deblurring, Trajectory and Shape Recovery of Fast Moving Objects with Denoising Diffusion Probabilistic Models,
WACV24(6843-6852)
IEEE DOI 2404
Shape, Noise reduction, Superresolution, Estimation, Probabilistic logic, Trajectory, Algorithms, Low-level and physics-based vision BibRef

Cho, H.[Hoonhee], Jeong, Y.[Yuhwan], Kim, T.[Taewoo], Yoon, K.J.[Kuk-Jin],
Non-Coaxial Event-guided Motion Deblurring with Spatial Alignment,
ICCV23(12458-12469)
IEEE DOI 2401
BibRef

Zhang, X.[Xiang], Yu, L.[Lei], Yang, W.[Wen], Liu, J.Z.[Jian-Zhuang], Xia, G.S.[Gui-Song],
Generalizing Event-Based Motion Deblurring in Real-World Scenarios,
ICCV23(10700-10710)
IEEE DOI 2401
BibRef

Vitoria, P.[Patricia], Georgoulis, S.[Stamatios], Tulyakov, S.[Stepan], Bochicchio, A.[Alfredo], Erbach, J.[Julius], Li, Y.Y.[Yuan-You],
Event-based Image Deblurring with Dynamic Motion Awareness,
MIPI22(95-112).
Springer DOI 2304
BibRef

Kim, K.[Kiyeon], Lee, S.Y.[Seung-Yong], Cho, S.[Sunghyun],
Mssnet: Multi-scale-stage Network for Single Image Deblurring,
AIM22(524-539).
Springer DOI 2304
BibRef

Argaw, D.M.[Dawit Mureja], Kim, J.S.[Jun-Sik], Rameau, F.[Francois], Zhang, C.N.[Chao-Ning], Kweon, I.S.[In So],
Restoration of Video Frames from a Single Blurred Image with Motion Understanding,
NTIRE21(701-710)
IEEE DOI 2109
Training, Inverse problems, Dynamics, Video sequences, Predictive models, Image restoration BibRef

Laroche, C.[Charles], Almansa, A.[Andrés], Tassano, M.[Matias],
Deep Model-Based Super-Resolution with Non-uniform Blur,
WACV23(1797-1808)
IEEE DOI 2302
Training, Superresolution, Image restoration, Noise measurement, Iterative methods, Kernel, Algorithms: Computational photography, image and video synthesis BibRef

Yang, D.[Dan], Koskinen, S.[Samu], Kämäräinen, J.K.[Joni-Kristian],
Active Short-Long Exposure Deblurring,
ICPR22(281-287)
IEEE DOI 2212
Parameter estimation, Art, Deep architecture, Lighting, Imaging, Mobile handsets BibRef

Liu, T.[Tao], Tan, S.[Shan],
Decoupled Frequency Learning for Dynamic Scene Deblurring,
ICPR22(89-96)
IEEE DOI 2212
Training, Deep learning, Current measurement, Performance gain, Benchmark testing, Image restoration BibRef

Jiang, B.R.[Bang-Rui], Xie, Z.H.[Zhi-Huai], Xia, Z.[Zhen], Li, S.[Songnan], Liu, S.[Shan],
ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring,
ECCV22(XVIII:663-678).
Springer DOI 2211
BibRef

Kim, T.[Taewoo], Lee, J.[Jeongmin], Wang, L.[Lin], Yoon, K.J.[Kuk-Jin],
Event-guided Deblurring of Unknown Exposure Time Videos,
ECCV22(XVIII:519-538).
Springer DOI 2211
BibRef

Lu, R.L.[Rui-Long], Yuan, Y.[Yuan], Wang, Q.[Qi],
Efficient Deblurring Via High-Frequency and Low-Frequency Information Fusion,
ICIP22(1271-1275)
IEEE DOI 2211
Image quality, Degradation, Convolution, Image edge detection, Distortion, Task analysis, Image deblurring, edge preception BibRef

Sun, L.[Lei], Sakaridis, C.[Christos], Liang, J.Y.[Jing-Yun], Jiang, Q.[Qi], Yang, K.L.[Kai-Lun], Sun, P.[Peng], Ye, Y.Z.[Yao-Zu], Wang, K.W.[Kai-Wei], Van Gool, L.J.[Luc J.],
Event-Based Fusion for Motion Deblurring with Cross-modal Attention,
ECCV22(XVIII:412-428).
Springer DOI 2211
BibRef

Song, C.[Chen], Huang, Q.X.[Qi-Xing], Bajaj, C.[Chandrajit],
E-CIR: Event-Enhanced Continuous Intensity Recovery,
CVPR22(7793-7802)
IEEE DOI 2210
Code, Motion Blur.
WWW Link. Deep learning, Visualization, Presses, Predictive models, Cameras, Probabilistic logic, Image and video synthesis and generation BibRef

Rozumnyi, D.[Denys], Oswald, M.R.[Martin R.], Ferrari, V.[Vittorio], Pollefeys, M.[Marc],
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos,
CVPR22(15969-15978)
IEEE DOI 2210
Solid modeling, Shape, Motion estimation, Pipelines, Rendering (computer graphics), Cameras, Pose estimation and tracking BibRef

Zhang, X.[Xiang], Yu, L.[Lei],
Unifying Motion Deblurring and Frame Interpolation with Events,
CVPR22(17744-17753)
IEEE DOI 2210
Training, Interpolation, Visualization, Codes, Self-supervised learning, Streaming media, Low-level vision BibRef

Yang, D.[Dan], Yamac, M.[Mehmet],
Motion Aware Double Attention Network for Dynamic Scene Deblurring,
NTIRE22(1112-1122)
IEEE DOI 2210
Degradation, Image segmentation, Motion segmentation, Dynamics, Data visualization, Cameras BibRef

Hu, X.B.[Xia-Bin], Ren, W.Q.[Wen-Qi], Yu, K.C.[Kai-Cheng], Zhang, K.[Kaihao], Cao, X.C.[Xiao-Chun], Liu, W.[Wei], Menze, B.[Bjoern],
Pyramid Architecture Search for Real-Time Image Deblurring,
ICCV21(4278-4287)
IEEE DOI 2203
Microprocessors, Memory management, Neural networks, Streaming media, Search problems, Real-time systems, Computational photography BibRef

Li, J.[Jichun], Tan, W.M.[Wei-Min], Yan, B.[Bo],
Perceptual Variousness Motion Deblurring with Light Global Context Refinement,
ICCV21(4096-4105)
IEEE DOI 2203
Measurement, Deep learning, Costs, Heuristic algorithms, Memory management, Benchmark testing, BibRef

Xu, F.[Fang], Yu, L.[Lei], Wang, B.[Bishan], Yang, W.[Wen], Xia, G.S.[Gui-Song], Jia, X.[Xu], Qiao, Z.D.[Zhen-Dong], Liu, J.Z.[Jian-Zhuang],
Motion Deblurring with Real Events,
ICCV21(2563-2572)
IEEE DOI 2203
Degradation, Optical flow, Computational photography, Low-level and physics-based vision BibRef

Mikamo, M.[Michihiro], Furukawa, R.[Ryo], Kawasaki, H.[Hiroshi],
A Method for Adding Motion-Blur on Arbitrary Objects by Using Auto-Segmentation and Color Compensation Techniques,
ICIP21(1854-1858)
IEEE DOI 2201
Image segmentation, Image color analysis, Filtering, Motion segmentation, Merging, Dynamics, Machine learning, HDR images BibRef

Mao, Z.J.[Zhong-Jie], Chen, X.[Xi], Wang, Y.C.[Yu-Cheng], Yan, J.[Jia],
Robust Tracking for Motion Blur Via Context Enhancement,
ICIP21(659-663)
IEEE DOI 2201
Image quality, Visualization, Image segmentation, Target tracking, Tracking, Motion segmentation, Motion blur, object tracking, context enhancement BibRef

Wozniak, P.[Piotr], Kwolek, B.[Bogdan],
Deep Embeddings-based Place Recognition Robust to Motion Blur,
ACVR21(1771-1779)
IEEE DOI 2112
Visualization, Image recognition, Image analysis, Heuristic algorithms, Image retrieval, Humanoid robots BibRef

Li, D.X.[Dong-Xu], Xu, C.C.[Chen-Chen], Zhang, K.H.[Kai-Hao], Yu, X.[Xin], Zhong, Y.R.[Yi-Ran], Ren, W.Q.[Wen-Qi], Suominen, H.[Hanna], Li, H.D.[Hong-Dong],
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring,
CVPR21(7717-7727)
IEEE DOI 2111
Training, Solid modeling, Correlation, DVD, Computational modeling, Cameras BibRef

Chi, Z.X.[Zhi-Xiang], Wang, Y.[Yang], Yu, Y.H.[Yuan-Hao], Tang, J.[Jin],
Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning,
CVPR21(9133-9142)
IEEE DOI 2111
Training, Adaptation models, Computational modeling, Performance gain, Task analysis BibRef

Sayed, M.[Mohamed], Brostow, G.[Gabriel],
Improved Handling of Motion Blur in Online Object Detection,
CVPR21(1706-1716)
IEEE DOI 2111
Computational modeling, Machine vision, Object detection, Cameras, Automobiles BibRef

Rozumnyi, D.[Denys], Matas, J.G.[Jirí G.], Šroubek, F.[Filip], Pollefeys, M.[Marc], Oswald, M.R.[Martin R.],
FMODetect: Robust Detection of Fast Moving Objects,
ICCV21(3521-3529)
IEEE DOI 2203
Learning systems, Fitting, Estimation, Object detection, Streaming media, Minimization, Video analysis and understanding BibRef

Rozumnyi, D.[Denys], Oswald, M.R.[Martin R.], Ferrari, V.[Vittorio], Matas, J.G.[Jirí G.], Pollefeys, M.[Marc],
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects,
CVPR21(3455-3464)
IEEE DOI 2111
Training, Shape, Computational modeling, Superresolution, Cameras BibRef

Lee, S.H.[Seung-Hwan], Cho, D.H.[Dong-Hyeon], Kim, J.W.[Ji-Won], Kim, T.H.[Tae Hyun],
Restore from Restored: Video Restoration with Pseudo Clean Video,
CVPR21(3536-3545)
IEEE DOI 2111
Training, Noise reduction, Estimation, Image restoration, Noise measurement BibRef

Rodriguez, B.[Bryan], Zhang, X.X.[Xin-Xiang], Rajan, D.[Dinesh],
Synthetically Generating Motion Blur in a Depth Map from Time-of-Flight Sensors,
MVA21(1-5)
DOI Link 2109
MIMICs, Imaging, Predictive models, Probabilistic logic BibRef

Akita, K.[Kazutoshi], Hayama, M.[Masayoshi], Kyutoku, H.[Haruya], Ukita, N.[Norimichi],
AVM Image Quality Enhancement by Synthetic Image Learning for Supervised Deblurring,
MVA21(1-5)
DOI Link 2109
Training, Image quality, Image synthesis, Distortion, Cameras, Automobiles BibRef

Seets, T.[Trevor], Ingle, A.[Atul], Laurenzis, M.[Martin], Velten, A.[Andreas],
Motion Adaptive Deblurring with Single-Photon Cameras,
WACV21(1944-1953)
IEEE DOI 2106
Tensors, Heuristic algorithms, Simulation, Cameras, Trajectory, Timing BibRef

Shedligeri, P.[Prasan], Anupama, S., Mitra, K.[Kaushik],
A Unified Framework for Compressive Video Recovery from Coded Exposure Techniques,
WACV21(1599-1608)
IEEE DOI 2106
Convolutional codes, Neural networks, Reconstruction algorithms, Sensors BibRef

Anupama, S., Shedligeri, P.[Prasan], Pal, A.[Abhishek], Mitra, K.[Kaushik],
Video reconstruction by spatio-temporal fusion of blurred-coded image pair,
ICPR21(7953-7960)
IEEE DOI 2105
Image sensors, Technological innovation, Video sequences, Prototypes, Cameras, Hardware, Agriculture BibRef

Lumentut, J.S.[Jonathan Samuel], Santoso, J.[Joshua], Park, I.K.[In Kyu],
Human Motion Deblurring Using Localized Body Prior,
ACCV20(II:320-335).
Springer DOI 2103
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Rodríguez-Rodríguez, J.A.[José A.], Molina-Cabello, M.A.[Miguel A.], Benítez-Rochel, R.[Rafaela], López-Rubio, E.[Ezequiel],
The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks,
MOI2QDN20(611-622).
Springer DOI 2103
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Šroubek, F., Kotera, J.,
Motion Blur Prior,
ICIP20(928-932)
IEEE DOI 2011
Standards, Convolution, Trajectory, Mathematical model, Noise level, Motion segmentation, Optimization, deblurring, deconvolution, convolutional sparse coding BibRef

Rengarajan, V., Zhao, S., Zhen, R., Glotzbach, J., Sheikh, H., Sankaranarayanan, A.C.,
Photosequencing of Motion Blur using Short and Long Exposures,
NTIRE20(2150-2159)
IEEE DOI 2008
Cameras, Noise measurement, Training, Neural networks, Sequential analysis, Image reconstruction, Machine vision BibRef

Kaufman, A., Fattal, R.,
Deblurring Using Analysis-Synthesis Networks Pair,
CVPR20(5810-5819)
IEEE DOI 2008
Kernel, Training, Image restoration, Estimation, Correlation, Convolution BibRef

Suin, M., Purohit, K., Rajagopalan, A.N.,
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring,
CVPR20(3603-3612)
IEEE DOI 2008
Task analysis, Decoding, Memory management, Standards, Image restoration BibRef

Yuan, Y., Su, W., Ma, D.,
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training,
CVPR20(3552-3561)
IEEE DOI 2008
Kernel, Deconvolution, Optical imaging, Feature extraction, Neck, Bidirectional control, Image restoration BibRef

Jiang, Z., Zhang, Y., Zou, D., Ren, J., Lv, J., Liu, Y.,
Learning Event-Based Motion Deblurring,
CVPR20(3317-3326)
IEEE DOI 2008
Image reconstruction, Cameras, Sensors, Filtering, Video sequences, Visualization BibRef

Dhanakshirur, R.R., Tabib, R.A., Patil, U., Mudenagudi, U.,
Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion Deblurring,
RLQ19(1008-1016)
IEEE DOI 2004
cameras, convolutional neural nets, feature selection, groupware, image motion analysis, image representation, image restoration, maximum a posteriori (MAP) estimate. BibRef

Kupyn, O., Martyniuk, T., Wu, J., Wang, Z.,
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better,
ICCV19(8877-8886)
IEEE DOI 2004
image motion analysis, image restoration, neural nets, video signal processing, Task analysis BibRef

Shen, Z., Wang, W., Lu, X., Shen, J., Ling, H., Xu, T., Shao, L.,
Human-Aware Motion Deblurring,
ICCV19(5571-5580)
IEEE DOI 2004
image motion analysis, image representation, image restoration, learning (artificial intelligence), object detection, Task analysis BibRef

Purohit, K.[Kuldeep], Shah, A.[Anshul], Rajagopalan, A.N.,
Bringing Alive Blurred Moments,
CVPR19(6823-6832).
IEEE DOI 2002
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Brooks, T.[Tim], Barron, J.T.[Jonathan T.],
Learning to Synthesize Motion Blur,
CVPR19(6833-6841).
IEEE DOI 2002
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Gao, H.Y.[Hong-Yun], Tao, X.[Xin], Shen, X.Y.[Xiao-Yong], Jia, J.Y.[Jia-Ya],
Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections,
CVPR19(3843-3851).
IEEE DOI 2002
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Fukushima, N., Kawasaki, Y., Maeda, Y.,
Accelerating Redundant DCT Filtering for Deblurring and Denoising,
ICIP19(4175-4179)
IEEE DOI 1910
DCT deblurring, redundant DCT filtering, post-scale DCT, acceleration BibRef

Purohit, K., Rajagopalan, A.N.,
Efficient Motion Deblurring with Feature Transformation and Spatial Attention,
ICIP19(4674-4678)
IEEE DOI 1910
Motion blur, Deblurring, CNN, Attention, Transformation BibRef

Jin, M., Meishvili, G., Favaro, P.,
Learning to Extract a Video Sequence from a Single Motion-Blurred Image,
CVPR18(6334-6342)
IEEE DOI 1812
Task analysis, Cameras, Video sequences, Training, Convolutional neural networks, Estimation BibRef

Madam, N.T.[Nimisha Thekke], Kumar, S.I.[Sun-Il], Rajagopalan, A.N.,
Unsupervised Class-Specific Deblurring,
ECCV18(X: 358-374).
Springer DOI 1810
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Geng, L., Nie, X., Niu, S., Yin, Y., Lin, J.,
Structural Compact Core Tensor Dictionary Learning for Multispec-Tral Remote Sensing Image Deblurring,
ICIP18(2865-2869)
IEEE DOI 1809
Tensile stress, Machine learning, Image restoration, Image reconstruction, Correlation, Estimation, tensor dictionary learning BibRef

Lu, Y., Xie, F., Jiang, Z.,
Kernel estimation for motion blur removal using deep convolutional neural network,
ICIP17(3755-3759)
IEEE DOI 1803
Estimation, Feature extraction, Image edge detection, Image restoration, Kernel, Predictive models, Training, motion blur BibRef

Ramakrishnan, S., Pachori, S., Gangopadhyay, A., Raman, S.,
Deep Generative Filter for Motion Deblurring,
CVPV17(2993-3000)
IEEE DOI 1802
Cameras, Convolution, Generators, Image restoration, Kernel, Sun BibRef

Kim, T.H.[Tae Hyun], Sajjadi, M.S.M.[Mehdi S. M.], Hirsch, M.[Michael], Schölkopf, B.[Bernhard],
Spatio-Temporal Transformer Network for Video Restoration,
ECCV18(III: 111-127).
Springer DOI 1810
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Noroozi, M.[Mehdi], Chandramouli, P.[Paramanand], Favaro, P.[Paolo],
Motion Deblurring in the Wild,
GCPR17(65-77).
Springer DOI 1711
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Zhao, J.C.[Jia-Cai], Ma, J.[Jie], Fang, B.[Bin], Quan, S.[Siwen], Hu, F.Y.[Fang-Yu],
Fast motion deblurring using gyroscopes and strong edge prediction,
ICPR16(739-744)
IEEE DOI 1705
Cameras, Estimation, Gyroscopes, Image edge detection, Image reconstruction, Image restoration, Kernel, deblurring, gyroscopes, motion blur, point spread function (PSF), strong, edge, prediction BibRef

Cronje, J.,
Deep convolutional neural networks for dense non-uniform motion deblurring,
ICVNZ15(1-5)
IEEE DOI 1701
image restoration BibRef

Pan, J., Hu, Z., Su, Z., Lee, H.Y., Yang, M.H.,
Soft-Segmentation Guided Object Motion Deblurring,
CVPR16(459-468)
IEEE DOI 1612
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Punnappurath, A.[Abhijith], Balaji, Y.[Yogesh], Mohan, M.[Mahesh], Rajagopalan, A.N.[Ambasamudram Narayanan],
Deep Decoupling of Defocus and Motion Blur for Dynamic Segmentation,
ECCV16(VII: 750-765).
Springer DOI 1611
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Teo, T.A.[Tee-Ann], Zhan, K.Z.[Kai-Zhi],
Integration of Image-Derived and POS-derived Features for Image Blur Detection,
ISPRS16(B1: 1051-1055).
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Zhen, R., Stevenson, R.L.,
Motion deblurring and depth estimation from multiple images,
ICIP16(2688-2692)
IEEE DOI 1610
Cameras BibRef

Liu, Y.Q.[Yi-Qun], Ostermann, J.[Jorn],
Fast motion blur compensation in HEVC using fixed-length filter,
ICIP15(2567-2571)
IEEE DOI 1512
HEVC, Motion Blur, Video Coding BibRef

Vasu, S.[Subeesh], Rajagopalan, A.N., Seetharaman, G.[Gunasekaran],
Tapping motion blur for robust normal estimation of planar scenes,
ICIP15(2761-2765)
IEEE DOI 1512
Motion blur BibRef

Zhang, Y.[Yi], Hirakawa, K.[Keigo],
Fast spatially varying object motion blur estimation,
ICIP15(646-650)
IEEE DOI 1512
Spatially varying blur BibRef

Sieberth, T., Wackrow, R., Chandler, J.H.,
UAV Image Blur: Its Influence and Ways to Correct It,
UAV-g15(33-39).
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Sun, J.[Jian], Cao, W.F.[Wen-Fei], Xu, Z.B.[Zong-Ben], Ponce, J.[Jean],
Learning a convolutional neural network for non-uniform motion blur removal,
CVPR15(769-777)
IEEE DOI 1510
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Zhang, H.C.[Hai-Chao], Yang, J.C.[Jian-Chao],
Intra-frame deblurring by leveraging inter-frame camera motion,
CVPR15(4036-4044)
IEEE DOI 1510
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Zhang, H.C.[Hai-Chao], Carin, L.[Lawrence],
Multi-shot Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement,
CVPR14(2925-2932)
IEEE DOI 1409
joint alignment and deblurring;multi-shot imaging BibRef

Shi, J.P.[Jian-Ping], Xu, L.[Li], Jia, J.Y.[Jia-Ya],
Discriminative Blur Detection Features,
CVPR14(2965-2972)
IEEE DOI 1409
Image blur analysis, blur detection, blur feature BibRef

Wulff, J.[Jonas], Black, M.J.[Michael Julian],
Modeling Blurred Video with Layers,
ECCV14(VI: 236-252).
Springer DOI 1408
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Duan, J.Y.[Jiang-Yong], Meng, G.F.[Gao-Feng], Xiang, S.M.[Shi-Ming], Pan, C.H.[Chun-Hong],
Multi-scale Deblurring with Smooth Region Constraints,
ACPR13(581-585)
IEEE DOI 1408
deconvolution BibRef

Huang, H.Y.[Hui-Yu], Tsai, W.C.[Wei-Chang],
Image Deblurring Using Fast Best Kernel Retrieval,
ACPR13(611-615)
IEEE DOI 1408
image motion analysis BibRef

Kim, T.H.[Tae Hyun], Lee, K.M.[Kyoung Mu],
Segmentation-Free Dynamic Scene Deblurring,
CVPR14(2766-2773)
IEEE DOI 1409
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Kim, T.H.[Tae Hyun], Ahn, B.[Byeongjoo], Lee, K.M.[Kyoung Mu],
Dynamic Scene Deblurring,
ICCV13(3160-3167)
IEEE DOI 1403
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Hacohen, Y.[Yoav], Shechtman, E.[Eli], Lischinski, D.[Dani],
Deblurring by Example Using Dense Correspondence,
ICCV13(2384-2391)
IEEE DOI 1403
deblurring, image restoration BibRef

Arun, M., Rajagopalan, A.N., Seetharaman, G.[Guna],
Multi-Shot Deblurring for 3D Scenes,
IR15(217-225)
IEEE DOI 1602
Cameras BibRef

Punnappurath, A.[Abhijith], Rajagopalan, A.N., Seetharaman, G.[Guna],
Registration and occlusion detection in motion blur,
ICIP13(2519-2523)
IEEE DOI 1402
Occlusion, non-uniform blur, registration, sparsity BibRef

Vougioukas, K.[Konstantinos], Boom, B.J.[Bastiaan J.], Fisher, R.B.[Robert B.],
Adaptive deblurring of surveillance video sequences that deteriorate over time,
ICIP13(1085-1089)
IEEE DOI 1402
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Purkait, P.[Pulak], Chanda, B.[Bhabatosh],
A fast and robust deblurring technique on high noise environment,
ICIP13(872-876)
IEEE DOI 1402
Image resolution BibRef

Wang, F.[Fang], Li, T.X.[Tian-Xing], Li, Y.[Yi],
Dual deblurring leveraged by image matching,
ICIP13(567-571)
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Chabok, M.,
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Bando, Y.[Yosuke],
An Analysis of Focus Sweep for Improved 2D Motion Invariance,
CCD13(945-952)
IEEE DOI 1309
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Sonoda, T.[Toshiki], Nagahara, H.[Hajime], Taniguchi, R.I.[Rin-Ichiro],
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Bae, H.H.[Hyeoung-Ho], Fowlkes, C.C.[Charless C.], Chou, P.H.[Pai H.],
Accurate motion deblurring using camera motion tracking and scene depth,
WACV13(148-153).
IEEE DOI 1303
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Patch Mosaic for Fast Motion Deblurring,
ACCV12(III:322-335).
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Xu, Y.Q.[Yu-Quan], Hu, X.Y.[Xi-Yuan], Peng, S.L.[Si-Long],
Robust Image Deblurring Using Hyper Laplacian Model,
eHeritage12(II:49-60).
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Automated Blur Detection And Removal In Airborne Imaging Systems Using Imu Data,
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McCloskey, S., Muldoon, K., Venkatesha, S.,
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Motion invariance and custom blur from lens motion,
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Lee, H.S.[Hee Seok], Kwon, J.H.[Jung-Hyun], Lee, K.M.[Kyoung Mu],
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Hua, B.S.[Binh-Son], Low, K.L.[Kok-Lim],
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Chen, H.Y.[Hai-Yan], Cao, M.H.[Ming-Hua], Wang, H.Q.[Hui-Qin], Hu, J.Q.[Jia-Qi], Hu, W.T.[Wen-Tao],
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IEEE DOI 0906
BibRef

Dai, S.Y.[Sheng-Yang], Wu, Y.[Ying],
Removing partial blur in a single image,
CVPR09(2544-2551).
IEEE DOI 0906
BibRef
Earlier:
Estimating space-variant motion blur without deblurring,
ICIP08(661-664).
IEEE DOI 0810
BibRef

Agrawal, A.[Amit], Xu, Y.[Yi],
Coded exposure deblurring: Optimized codes for PSF estimation and invertibility,
CVPR09(2066-2073).
IEEE DOI 0906
BibRef

Caiy, J.F.[Jian-Feng], Jiz, H.[Hui], Liuy, C.Q.[Chao-Qiang], Shenz, Z.W.[Zuo-Wei],
High-quality curvelet-based motion deblurring from an image pair,
CVPR09(1566-1573).
IEEE DOI 0906
BibRef

Agrawal, A.[Amit], Raskar, R.[Ramesh],
Optimal single image capture for motion deblurring,
CVPR09(2560-2567).
IEEE DOI 0906
BibRef

Subbarao, M.[Murali], Kang, Y.S.[Youn-Sik], Dutta, S.[Satyaki], Tu, X.[Xue],
Localized and computationally efficient approach to shift-variant image deblurring,
ICIP08(657-660).
IEEE DOI 0810
BibRef

Yuan, Z.[Zheng], Li, J.X.[Jian-Xun], Zhu, Z.F.[Zheng-Fu],
Robust image restoration for rotary motion degradations and the motion parameter identification,
ICIP08(501-504).
IEEE DOI 0810
BibRef

Liu, R.T.[Ren-Ting], Li, Z.R.[Zhao-Rong], Jia, J.Y.[Jia-Ya],
Image partial blur detection and classification,
CVPR08(1-8).
IEEE DOI 0806
Detect the blurred regions for restoration. BibRef

Mei, C.[Christopher], Reid, I.D.[Ian D.],
Modeling and generating complex motion blur for real-time tracking,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Ji, H.[Hui], Liu, C.Q.[Chao-Qiang],
Motion blur identification from image gradients,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Chen, J.[Jia], Yuan, L.[Lu], Tang, C.K.[Chi-Keung], Quan, L.[Long],
Robust dual motion deblurring,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Lukic, T.[Tibor], Sladoje, N.[Nataša], Lindblad, J.[Joakim],
Deterministic Defuzzification Based on Spectral Projected Gradient Optimization,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Shan, Q.[Qi], Xiong, W.[Wei], Jia, J.Y.[Jia-Ya],
Rotational Motion Deblurring of a Rigid Object from a Single Image,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Jia, J.Y.[Jia-Ya],
Single Image Motion Deblurring Using Transparency,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Cho, S.H.[Sung-Hyun], Matsushita, Y.[Yasuyuki], Lee, S.Y.[Seung-Yong],
Removing Non-Uniform Motion Blur from Images,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Nieuwenhuis, C.[Claudia], Berkels, B.[Benjamin], Rumpf, M.[Martin], Cremers, D.[Daniel],
Interactive Motion Segmentation,
DAGM10(483-492).
Springer DOI 1009
BibRef

Bar, L.[Leah], Berkels, B.[Benjamin], Rumpf, M.[Martin], Sapiro, G.[Guillermo],
A Variational Framework for Simultaneous Motion Estimation and Restoration of Motion-Blurred Video,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Ren, C.J.[Chun-Jian], Chen, W.B.[Wen-Bin], Shen, I.F.[I-Fan],
Three-Stage Motion Deblurring from a Video,
ACCV07(II: 53-62).
Springer DOI 0711
BibRef

Saito, T.[Takahiro], Ishikawa, K.I.[Ken-Ichi], Komatsu, T.[Takashi],
Super-resolution interpolation with a quasi blur-hypothesis,
ICIP11(1145-1148).
IEEE DOI 1201
BibRef

Tsubaki, I.[Ikuko], Komatsu, T.[Takashi], Saito, T.[Takahiro],
Interframe Motion Deblurring using Spatio-Temporal Regularization,
ICIP07(IV: 409-412).
IEEE DOI 0709
BibRef

van Heesch, F.H., Klompenhouwer, M.A.,
Spatio-Temporal Frequency Analysis of Motion Blur Reduction on LCDs,
ICIP07(IV: 401-404).
IEEE DOI 0709
BibRef

Mélange, T.[Tom], Zlokolica, V.[Vladimir], Schulte, S.[Stefan], de Witte, V.[Valérie], Nachtegael, M.[Mike], Pižurica, A.[Aleksandra], Kerre, E.E.[Etienne E.], Philips, W.[Wilfried],
A New Fuzzy Motion and Detail Adaptive Video Filter,
ACIVS07(640-651).
Springer DOI 0708
BibRef

Xue, F.[Feng], Liu, Q.S.[Quan-Sheng], Froment, J.[Jacques],
An a Contrario Approach for Parameters Estimation of a Motion-Blurred Image,
EMMCVPR07(267-279).
Springer DOI 0708
BibRef

Tico, M., Trimeche, M., Vehvilainen, M.,
Motion Blur Identification Based on Differently Exposed Images,
ICIP06(2021-2024).
IEEE DOI 0610

See also Image Stabilization Based on Fusing the Visual Information in Differently Exposed Images. BibRef

Zheng, H.W.[Hong-Wei], Hellwich, O.[Olaf],
Image Statistics and Local Spatial Conditions for Nonstationary Blurred Image Reconstruction,
DAGM07(324-334).
Springer DOI 0709
BibRef
Earlier:
Bayesian Estimation Based Mumford-Shah Regularization for Blur Identification and Segmentation in Video Sequences,
Southwest06(129-133).
IEEE DOI 0603
BibRef
And:
Introducing Dynamic Prior Knowledge to Partially-Blurred Image Restoration,
DAGM06(111-121).
Springer DOI 0610
BibRef
Earlier:
Double Regularized Bayesian Estimation for Blur Identification in Video Sequences,
ACCV06(II:943-952).
Springer DOI 0601
BibRef

Lin, H.Y.[Huei-Yung], Chang, C.H.[Chia-Hong],
Photo-Consistent Motion Blur Modeling for Realistic Image Synthesis,
PSIVT06(1273-1282).
Springer DOI 0612
BibRef
Earlier:
Depth Recovery from Motion Blurred Images,
ICPR06(I: 135-138).
IEEE DOI 0609
BibRef
And:
Depth Recovery from Motion and Defocus Blur,
ICIAR06(II: 122-133).
Springer DOI 0610
BibRef

Lin, H.Y.[Huei-Yung], Li, K.J.[Kun-Jhih],
Motion blur removal and its application to vehicle speed detection,
ICIP04(V: 3407-3410).
IEEE DOI 0505
BibRef

Qi, X.Y., Zhang, L., Tan, C.L.,
Motion deblurring for optical character recognition,
ICDAR05(I: 389-393).
IEEE DOI 0508
BibRef

Pan, H.[Hao], Feng, X.F.[Xiao-Fan], Daly, S.,
LCD Motion Blur Modeling and Analysis,
ICIP05(II: 21-24).
IEEE DOI 0512
BibRef

Liu, X.Z.[Xue-Zheng], Li, M.J.[Ming-Jing], Zhang, H.L.[Hong-Liang], Wang, D.X.[Ding-Xing],
Bayesian motion blur identification using blur priori,
ICIP03(II: 957-960).
IEEE DOI 0312
BibRef

Kang, S.K., Min, J., Paik, J.K.,
Segmentation-based Spatially Adaptive Motion Blur Removal and Its Application to Surveillance Systems,
ICIP01(I: 245-248).
IEEE DOI 0108
BibRef

Kang, S.K.[Sang Kyu], Choung, Y.C.[Yoo Chang], Paik, J.K.[Joon Ki],
Segmentation-Based Iamge Restoration for Multiple Moving Objects with Different Motions,
ICIP99(I:376-380).
IEEE DOI BibRef 9900

Marquina, A.[Antonio], Osher, S.J.[Stanley J.],
A new time dependent model based on level set motion for nonlinear deblurring and noise removal,
ScaleSpace99(429-434). Level Set. BibRef 9900

Bascle, B., Blake, A., Zisserman, A.,
Motion Deblurring and Super-Resolution from an Image Sequence,
ECCV96(II:571-582).
Springer DOI Merge many images into one good one by tracking the object. BibRef 9600

Michaelis, B., Heimburger, T.,
Compensation of motion blur in binary images,
ICPR92(III:561-564).
IEEE DOI 9208
BibRef

Li, Y.M.[Yun-Ming], Zhu, W.D.[Wei-Dong],
Restoration of the image degraded by linear motion,
ICPR90(II: 147-152).
IEEE DOI 9208
BibRef

Takiyama, R., Ono, N.,
Restoration of rotationally blurred images,
ICPR88(II: 1020-1022).
IEEE DOI 8811
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Video Deblurring, Image Restoration .

Last update:Jul 7, 2025 at 14:35:55