18.4.3.15 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

Xu, D.H.[Da-Hong], Wang, R.S.[Run-Sheng],
An Improved FoE Model for Image Deblurring,
IJCV(81), No. 2, February 2009, pp. xx-yy.
Springer DOI 0901
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

Cai, J.F.[Jian-Feng], Osher, S.J.[Stanley J.], Shen, Z.W.[Zuo-Wei],
Linearized Bregman Iterations For Frame-Based Image Deblurring,
SIIMS(2), No. 1, 2009, pp. 226-252. linearized Bregman iteration, image deblurring, tight frame
DOI Link BibRef 0900

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

Cai, J.F.[Jian-Feng], Chan, R.H.[Raymond H.], Nikolova, M.[Mila],
Fast Two-Phase Image Deblurring Under Impulse Noise,
JMIV(36), No. 1, January 2010, pp. xx-yy.
Springer DOI 1001
BibRef

Chan, R.H., Dong, Y.Q.[Yi-Qiu], Hintermuller, M.,
An Efficient Two-Phase L1-TV Method for Restoring Blurred Images with Impulse Noise,
IP(19), No. 7, July 2010, pp. 1731-1739.
IEEE DOI 1007
BibRef

Tai, Y.W.[Yu-Wing], Du, H.[Hao], Brown, M.S.[Michael S.], Lin, S.[Stephen],
Correction of Spatially Varying Image and Video Motion Blur Using a Hybrid Camera,
PAMI(32), No. 6, June 2010, pp. 1012-1028.
IEEE DOI 1004
BibRef
Earlier:
Image/video deblurring using a hybrid camera,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Tai, Y.W.[Yu-Wing], Liu, S.C.[Shuai-Cheng], Brown, M.S.[Michael S.], Lin, S.[Stephen],
Super resolution using edge prior and single image detail synthesis,
CVPR10(2400-2407).
IEEE DOI 1006
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], Ramponi, G.[Giovanni],
No-reference measurement of perceptually significant blurriness in video frames,
SIViP(5), No. 3, September 2011, pp. 271-282.
WWW Link. 1109
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

Ji, H., Wang, K.,
Robust Image Deblurring With an Inaccurate Blur Kernel,
IP(21), No. 4, April 2012, pp. 1624-1634.
IEEE DOI 1204
BibRef

Chen, M.J.[Ming-Jun], Bovik, A.C.[Alan C.],
No-reference image blur assessment using multiscale gradient,
JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link 1203
BibRef

Carlavan, M., Blanc-Feraud, L.,
Sparse Poisson Noisy Image Deblurring,
IP(21), No. 4, April 2012, pp. 1834-1846.
IEEE DOI 1204
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

Getreuer, P.[Pascal],
Rudin-Osher-Fatemi Total Variation Denoising using Split Bregman,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1205
Code, Total Variation.
See also Nonlinear total variation based noise removal algorithms.
See also Gunturk-Altunbasak-Mersereau Alternating Projections Image Demosaicking. BibRef

Getreuer, P.[Pascal],
Total Variation Deconvolution Using Split Bregman,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1208
Code, Total Variation. Deblurring
See also Nonlinear total variation based noise removal algorithms. Goldstein and Osher BibRef

McCloskey, S.[Scott], Ding, Y.Y.[Yuan-Yuan], Yu, J.Y.[Jing-Yi],
Design and Estimation of Coded Exposure Point Spread Functions,
PAMI(34), No. 10, October 2012, pp. 2071-2077.
IEEE DOI 1208
BibRef
Earlier: A2, A1, A3:
Analysis of Motion Blur with a Flutter Shutter Camera for Non-linear Motion,
ECCV10(I: 15-30).
Springer DOI 1009
motion deblurring using coded exposure BibRef

Li, N., McCloskey, S., Yu, J.Y.[Jing-Yi],
Jittered Exposures for Light Field Super-Resolution,
ICIP19(4345-4349)
IEEE DOI 1910
BibRef

McCloskey, S.[Scott], Venkatesha, S.,
Temporally Coded Illumination for Rolling Shutter Motion De-blurring,
WACV17(1287-1295)
IEEE DOI 1609
Bars, Cameras, Distortion, Image sensors, Lighting, Sensors BibRef

McCloskey, S.[Scott],
Improved Motion Invariant Deblurring through Motion Estimation,
ECCV14(IV: 75-89).
Springer DOI 1408
BibRef
Earlier:
Temporally coded flash illumination for motion deblurring,
ICCV11(683-690).
IEEE DOI 1201
BibRef
Earlier:
Velocity-Dependent Shutter Sequences for Motion Deblurring,
ECCV10(VI: 309-322).
Springer DOI 1009

See also 2D Barcode localization and motion deblurring using a flutter shutter camera. BibRef

McCloskey, S.[Scott], Venkatesha, S.[Sharath], Muldoon, K.[Kelly], Eckman, R.[Ryan],
A Low-Noise Fluttering Shutter Camera Handling Accelerated Motion,
WACV15(333-340)
IEEE DOI 1503
Acceleration 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
computer vision 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

Chen, H.S.[Hua-Song], Wang, C.Y.[Chun-Yong], Song, Y.[Yang], Li, Z.H.[Zhen-Hua],
Split Bregmanized anisotropic total variation model for image deblurring,
JVCIR(31), No. 1, 2015, pp. 282-293.
Elsevier DOI 1508
Anisotropic 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], Loli Piccolomini, E.[Elena], 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

Zhang, J., Hirakawa, K.,
Improved Denoising via Poisson Mixture Modeling of Image Sensor Noise,
IP(26), No. 4, April 2017, pp. 1565-1578.
IEEE DOI 1704
Gaussian processes 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).
HTML Version. 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

Qiao, C., Lau, R.W.H., Sheng, B., Zhang, B., Wu, E.,
Temporal Coherence-Based Deblurring Using Non-Uniform Motion Optimization,
IP(26), No. 10, October 2017, pp. 4991-5004.
IEEE DOI 1708
Cameras, Computational modeling, Image reconstruction, Kernel, Motion segmentation, Video sequences, Videos, Video deblurring, image deblurring, non-uniform blur kernel. BibRef

Xiong, J.J.[Jiao-Jiao], Liu, Q.[Qiegen], Wang, Y.[Yuhao], 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

LeBlanc, 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

Kim, T.H., Nah, S., Lee, K.M.,
Dynamic Video Deblurring Using a Locally Adaptive Blur Model,
PAMI(40), No. 10, October 2018, pp. 2374-2387.
IEEE DOI 1809
BibRef
Earlier: A2, A1, A3:
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring,
CVPR17(257-265)
IEEE DOI 1711
Kernel, Cameras, Optical imaging, Motion segmentation, Dynamics, Adaptive optics, Estimation, Video deblurring, non-uniform blur, non-uniform blur dataset. Image restoration, Training 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

Li, J.[Jing], Gong, W.G.[Wei-Guo], Zhan, H.[Huimei], Li, W.H.[Wei-Hong],
Combining weighted curvelet accumulation with motion vector duty cycle for nonuniform video deblurring,
SP:IC(70), 2019, pp. 89-103.
Elsevier DOI 1812
Weighted curvelet accumulation, Motion vector duty cycle, Nonuniform video deblurring 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.[Luxin], 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

Pan, L.Y.[Li-Yuan], Dai, Y.C.[Yu-Chao], Liu, M.M.[Miao-Miao], Porikli, F.M.[Fatih M.], Pan, Q.[Quan],
Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation,
IP(29), No. 1, 2020, pp. 1748-1761.
IEEE DOI 1912
BibRef
Earlier: A1, A2, A3, A4, Only:
Simultaneous Stereo Video Deblurring and Scene Flow Estimation,
CVPR17(6987-6996)
IEEE DOI 1711
Estimation, Cameras, Motion segmentation, Object segmentation, Image segmentation, Kernel, Semantics, Stereo deblurring, joint optimization. Benchmark testing, Estimation, Motion estimation, Optical imaging, 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

Xiang, X.G.[Xin-Guang], Wei, H.[Hao], Pan, J.S.[Jin-Shan],
Deep Video Deblurring Using Sharpness Features From Exemplars,
IP(29), 2020, pp. 8976-8987.
IEEE DOI 2009
Image restoration, Feature extraction, Optical imaging, Decoding, Estimation, Learning systems, Kernel, Video deblurring, optical flow, exemplars 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

Pan, J.S.[Jin-Shan], Bai, H.R.[Hao-Ran], Tang, J.H.[Jin-Hui],
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior,
CVPR20(3040-3048)
IEEE DOI 2008
Optical imaging, Image restoration, Optical computing, Estimation, Convolution, Optical feedback, Convolutional neural networks BibRef

Kumar, H., Gupta, S., Venkatesh, K.S.,
Simultaneous Estimation of Defocus and Motion Blurs From Single Image Using Equivalent Gaussian Representation,
CirSysVideo(30), No. 10, October 2020, pp. 3571-3583.
IEEE DOI 2010
Estimation, Image coding, Cameras, Reliability, Frequency-domain analysis, Atmospheric modeling, equivalent Gaussian representation BibRef

Wang, T.[Tao], Zhang, X.Q.[Xiao-Qin], Jiang, R.[Runhua], Zhao, L.[Li], Chen, H.L.[Hui-Ling], Luo, W.[Wenhan],
Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior,
CVIU(203), 2021, pp. 103135.
Elsevier DOI 2101
Video deblurring, Spatiotemporal pyramid, Adversarial learning, Image prior 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

Li, Y.[Yawei], Zhang, H.[Hong], Wu, Y.[Yujie], Yuan, D.[Ding],
Dynamic Scene Video Deblurring Using Robust Incremental Weighted Fourier Aggregation,
SPLetters(28), 2021, pp. 1565-1569.
IEEE DOI 2108
Smoothing methods, Signal processing algorithms, Aggregates, Training, Kernel, Computational complexity, Pipelines, lucky region BibRef

Nie, K.M.[Kai-Ming], Shi, X.P.[Xiao-Pei], Cheng, S.[Silu], Gao, Z.Y.[Zhi-Yuan], Xu, J.T.[Jiang-Tao],
High Frame Rate Video Reconstruction and Deblurring Based on Dynamic and Active Pixel Vision Image Sensor,
CirSysVideo(31), No. 8, August 2021, pp. 2938-2952.
IEEE DOI 2108
Optical flow, Image reconstruction, Voltage control, Streaming media, Image sequences, Trajectory, Image restoration, deblur BibRef

Zhang, X.Q.[Xiao-Qin], Jiang, R.[Runhua], Wang, T.[Tao], Wang, J.X.[Jin-Xin],
Recursive Neural Network for Video Deblurring,
CirSysVideo(31), No. 8, August 2021, pp. 3025-3036.
IEEE DOI 2108
Image restoration, Task analysis, Convolution, Kernel, Computational modeling, Recurrent neural networks, temporal consistency 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

Argaw, D.M.[Dawit Mureja], Kim, J.S.[Jun-Sik], Rameau, F.[Francois], Zhang, C.[Chaoning], 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

Zhang, X.X.[Xin-Xin], Wang, R.G.[Rong-Gang], Chen, D.[Da], Zhao, Y.[Yang], Gao, W.[Wen],
Handling Outliers by Robust M-Estimation in Blind Image Deblurring,
MultMed(23), 2021, pp. 3215-3226.
IEEE DOI 2109
Kernel, Deconvolution, Image restoration, Robustness, Estimation, Shape, Cameras, Blind image deblurring, kernel estimation, outlier BibRef

Zhang, X.X.[Xin-Xin], Wang, R.G.[Rong-Gang], Tian, Y.H.[Yong-Hong], Wang, W.M.[Wen-Min], Gao, W.[Wen],
Image deblurring using robust sparsity priors,
ICIP15(138-142)
IEEE DOI 1512
Motion blur, deblurring, image reconstruction, kernel estimation 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

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

Imani, H.[Hassan], Islam, M.B.[Md Baharul],
Towards Stereoscopic Video Deblurring Using Deep Convolutional Networks,
ISVC21(II:337-348).
Springer DOI 2112
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.[Yiran], Ren, W.[Wenqi], 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

Suin, M.[Maitreya], Rajagopalan, A.N.,
Gated Spatio-Temporal Attention-Guided Video Deblurring,
CVPR21(7798-7807)
IEEE DOI 2111
Adaptation models, Fuses, Computational modeling, Logic gates, Pattern recognition, Computational efficiency 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, Pattern recognition, 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, Pattern recognition, Automobiles BibRef

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

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
BibRef

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

Lin, S.N.[Song-Nan], Zhang, J.W.[Jia-Wei], Pan, J.S.[Jin-Shan], Jiang, Z.[Zhe], Zou, D.Q.[Dong-Qing], Wang, Y.T.[Yong-Tian], Chen, J.[Jing], Ren, J.[Jimmy],
Learning Event-driven Video Deblurring and Interpolation,
ECCV20(VIII:695-710).
Springer DOI 2011
BibRef

Yan, Y., Wu, Q., Xu, B., Zhang, J., Ren, W.,
VDFlow: Joint Learning for Optical Flow and Video Deblurring,
UG20(3808-3816)
IEEE DOI 2008
Optical imaging, Adaptive optics, Optical propagation, Optical fiber networks, Bidirectional control, Kernel, Estimation 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

Brehm, S., Scherer, S., Lienhart, R.,
High-Resolution Dual-Stage Multi-Level Feature Aggregation for Single Image and Video Deblurring,
NTIRE20(1872-1881)
IEEE DOI 2008
Image restoration, Kernel, Task analysis, Image resolution, Cameras, Aggregates, Feature extraction 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, Computer architecture, Filtering, Video sequences, Visualization BibRef

Zhang, K., Luo, W., Zhong, Y., Ma, L., Stenger, B., Liu, W., Li, H.,
Deblurring by Realistic Blurring,
CVPR20(2734-2743)
IEEE DOI 2008
Image restoration, Generators, Kernel, Training, Machine learning, Task analysis BibRef

Nah, S.J.[Seung-Jun], Son, S.[Sanghyun], Lee, S.Y.[Su-Young], Timofte, R.[Radu], Lee, K.M.[Kyoung Mu], Chen, L.[Liangyu], Zhang, J.[Jie], Lu, X.[Xin], Chu, X.J.[Xiao-Jie], Chen, C.[Chengpeng], Xiong, Z.W.[Zhi-Wei], Xu, R.[Ruikang], Xiao, Z.[Zeyu], Huang, J.[Jie], Zhang, Y.[Yueyi], Xi, S.[Si], Wei, J.[Jia], Bai, H.[Haoran], Cheng, S.[Songsheng], Wei, H.[Hao], Sun, L.[Long], Tang, J.H.[Jin-Hui], Pan, J.[Jinshan], Lee, D.[Donghyeon], Lee, C.H.[Chul-Hee], Kim, T.[Taesung], Wang, X.B.[Xia-Bing], Zhang, D.[Dafeng], Pan, Z.H.[Zhi-Hong], Lin, T.[Tianwei], Wu, W.H.[Wen-Hao], He, D.L.[Dong-Liang], Li, B.[Baopu], Li, B.[Boyun], Xi, T.[Teng], Zhang, G.[Gang], Liu, J.[Jingtuo], Han, J.Y.[Jun-Yu], Ding, E.[Errui], Tao, G.[Guangpin], Chu, W.Q.[Wen-Qing], Cao, Y.[Yun], Luo, D.[Donghao], Tai, Y.[Ying], Lu, T.[Tong], Wang, C.J.[Cheng-Jie], Li, J.L.[Ji-Lin], Huang, F.Y.[Fei-Yue], Chen, H.[Hanting], Chen, S.[Shuaijun], Guo, T.[Tianyu], Wang, Y.H.[Yun-He], Zamir, S.W.[Syed Waqas], Arora, A.[Aditya], Khan, S.[Salman], Hayat, M.[Munawar], Khan, F.S.[Fahad Shahbaz], Shao, L.[Ling], Zuo, Y.[Yushen], Ou, Y.M.[Yi-Min], Chai, Y.J.[Yuan-Jun], Shi, L.[Lei], Liu, S.[Shuai], Lei, L.[Lei], Feng, C.[Chaoyu], Zeng, K.[Kai], Yao, Y.[Yuying], Liu, X.[Xinran], Zhang, Z.[Zhizhou], Huang, H.[Huacheng], Zhang, Y.[Yunchen], Jiang, M.[Mingchao], Zou, W.B.[Wen-Bin], Miao, S.[Si], Kim, Y.[Yangwoo], Sun, Y.[Yuejin], Deng, S.[Senyou], Ren, W.[Wenqi], Cao, X.C.[Xiao-Chun], Wang, T.[Tao], Suin, M.[Maitreya], Rajagopalan, A.N., Duong, V.V.[Vinh Van], Nguyen, T.H.[Thuc Huu], Yim, J.[Jonghoon], Jeon, B.W.[Byeung-Woo], Li, R.[Ru], Xie, J.[Junwei], Han, J.W.[Jong-Wook], Choi, J.H.[Jun-Ho], Kim, J.H.[Jun-Hyuk], Lee, J.S.[Jong-Seok], Zhang, J.X.[Jia-Xin], Peng, F.[Fan], Svitov, D.[David], Pakulich, D.[Dmitry], Kim, J.[Jaeyeob], Jeong, J.C.[Je-Chang],
NTIRE 2021 Challenge on Image Deblurring,
NTIRE21(149-165)
IEEE DOI 2109
Photography, Image resolution, Image coding, Tracking, Dynamics, Transform coding, Image restoration BibRef

Nah, S.J.[Seung-Jun], Son, S.H.[Sang-Hyun], Timofte, R.[Radu], Lee, K.M.[Kyoung Mu], Tseng, Y.[Yu], Xu, Y.S.[Yu-Syuan], Chiang, C.M.[Cheng-Ming], Tsai, Y.M.[Yi-Min], Brehm, S.[Stephan], Scherer, S.[Sebastian], Xu, D.[Dejia], Chu, Y.[Yihao], Sun, Q.Y.[Qing-Yan], Jiang, J.[Jiaqin], Duan, L.[Lunhao], Yao, J.[Jian], Purpohit, K.[Kuldeep], Suin, M.[Maitreya], Rajagopalan, A.N., Ito, Y.C.[Yui-Chi], Hrishikesh, P.S., Puthussery, D.[Densen], Akhil, K.A., Jiji, C.V., Kim, G.[Guisik], Deepa, P.L., Xiong, Z.W.[Zhi-Wei], Huang, J.[Jie], Liu, D.[Dong], Kim, S.M.[Sang-Min], Nam, H.J.[Hyung-Joon], Kim, J.[Jisu], Jeong, J.C.[Je-Chang], Huang, S.H.[Shi-Hua], Fan, Y.C.[Yu-Chen], Yu, J.A.[Ji-Ahui], Yu, H.C.[Hai-Chao], Huang, T.S.[Thomas S.], Zhou, Y.[Ya], Li, X.[Xin], Liu, S.[Sen], Chen, Z.B.[Zhi-Bo], Dutta, S.[Saikat], Das, S.D.[Sourya Dipta], Garg, S.[Shivam], Sprague, D.[Daniel], Patel, B.[Bhrij], Huck, T.[Thomas],
NTIRE 2020 Challenge on Image and Video Deblurring,
NTIRE20(1662-1675)
IEEE DOI 2008
Image restoration, Image resolution, Graphics processing units, Neural networks, Target tracking, Kernel BibRef

Wu, J., Yu, X., Liu, D., Chandraker, M., Wang, Z.,
DAVID: Dual-Attentional Video Deblurring,
WACV20(2365-2374)
IEEE DOI 2006
DVD, Image restoration, Aggregates, Estimation, Cameras, Kernel, 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

Gast, J., Roth, S.,
Deep Video Deblurring: The Devil is in the Details,
CLI19(3824-3833)
IEEE DOI 2004
cameras, convolutional neural nets, image motion analysis, image restoration, learning (artificial intelligence), Deep learning 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

Zhou, S., Zhang, J., Pan, J., Zuo, W., Xie, H., Ren, J.,
Spatio-Temporal Filter Adaptive Network for Video Deblurring,
ICCV19(2482-2491)
IEEE DOI 2004
adaptive filters, cameras, image restoration, image sequences, motion estimation, video signal processing, video deblurring, Feature extraction 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

Zhang, J., Pan, J., Ren, J., Song, Y., Bao, L., Lau, R.W.H., Yang, M.,
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

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

Zhang, K., Luo, W., Zhong, Y., Ma, L., Liu, W., Li, H.,
Adversarial Spatio-Temporal Learning for Video Deblurring,
IP(28), No. 1, January 2019, pp. 291-301.
IEEE DOI 1810
cameras, convolution, feedforward neural nets, image restoration, learning (artificial intelligence), neural net architecture, video deblurring 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

Gupta, K., Bhowmick, B., Majumdar, A.,
Motion blur removal via coupled autoencoder,
ICIP17(480-484)
IEEE DOI 1803
Couplings, Deconvolution, Image resolution, Kernel, Neural networks, Testing, Training, autoencoder, coupling, deblurring, motion blur, split bregman 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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Kim, T.H.[Tae Hyun], Lee, K.M., Schölkopf, B.[Bernhard], Hirsch, M.[Michael],
Online Video Deblurring via Dynamic Temporal Blending Network,
ICCV17(4058-4067)
IEEE DOI 1802
cameras, image motion analysis, image restoration, image sequences, motion estimation, recurrent neural nets, Streaming media BibRef

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).
DOI Link 1610
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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

Tan, F., Liu, S., Zeng, L., Zeng, B.,
Kernel-free video deblurring via synthesis,
ICIP16(2683-2687)
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).
DOI Link 1512
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Sun, J.[Jian], Cao, W.[Wenfei], 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.[Haichao], Yang, J.C.[Jian-Chao],
Intra-frame deblurring by leveraging inter-frame camera motion,
CVPR15(4036-4044)
IEEE DOI 1510
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Kim, T.H.[Tae Hyun], Lee, K.M.[Kyoung Mu],
Generalized video deblurring for dynamic scenes,
CVPR15(5426-5434)
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
Cameras BibRef

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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Eliminating and Modelling Non-metric Camera Sensor Distortions Caused by Sidewise and Forward Motion of the UAV,
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An Analysis of Focus Sweep for Improved 2D Motion Invariance,
CCD13(945-952)
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Sonoda, T.[Toshiki], Nagahara, H.[Hajime], Taniguchi, R.I.[Rin-Ichiro],
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Springer DOI 1304
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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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And:
Patch Mosaic for Fast Motion Deblurring,
ACCV12(III:322-335).
Springer DOI 1304
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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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Depth and Arbitrary Motion Deblurring Using Integrated PSF,
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ICIP12(3101-3104).
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Wei, X.F.[Xiao-Feng], Geng, Z.X.[Ze-Xun], Chao, J.[Jiang], Chen, S.[Shen],
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Automated Blur Detection And Removal In Airborne Imaging Systems Using Imu Data,
ISPRS12(XXXIX-B1:321-323).
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Xu, L.[Li], Jia, J.,
Depth-aware motion deblurring,
ICCP12(1-8).
IEEE DOI 1208
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McCloskey, S., Muldoon, K., Venkatesha, S.,
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ICCP14(1-9)
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Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks,
ECCV18(VIII: 748-764).
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Cho, T.S.[Taeg Sang], Levin, A., Durand, F., Freeman, W.T.,
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ICCP10(1-8).
IEEE DOI 1208
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Cho, T.S.[Taeg Sang], Paris, S.[Sylvain], Horn, B.K.P.[Berthold K. P.], Freeman, W.T.[William T.],
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CVPR11(241-248).
IEEE DOI 1106
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Tai, Y.W.[Yu-Wing], Lin, S.[Stephen],
Motion-aware noise filtering for deblurring of noisy and blurry images,
CVPR12(17-24).
IEEE DOI 1208
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Kim, S.Y.[Sun-Yeong], Tai, Y.W.[Yu-Wing], Kim, S.J.[Seon Joo], Brown, M.S.[Michael S.], Matsushita, Y.[Yasuyuki],
Nonlinear camera response functions and image deblurring,
CVPR12(25-32).
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Lee, H.S.[Hee Seok], Kwon, J.H.[Jung-Hyun], Lee, K.M.[Kyoung Mu],
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ICCV11(1203-1210).
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Martinello, M.[Manuel], Favaro, P.[Paolo],
Fragmented aperture imaging for motion and defocus deblurring,
ICIP11(3413-3416).
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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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Yahyanejad, S.[Saeed], Strom, J.[Jacob],
Removing motion blur from barcode images,
IWMV10(41-46).
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Zhuo, S.J.[Shao-Jie], Guo, D.[Dong], Sim, T.[Terence],
Robust flash deblurring,
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Tai, Y.W.[Yu-Wing], Kong, N.[Naejin], Lin, S.[Stephen], Shin, S.Y.[Sung Yong],
Coded exposure imaging for projective motion deblurring,
CVPR10(2408-2415).
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Wang, W.[Weiran], Carreira-Perpinan, M.A.[Miguel A.],
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ICIP09(137-140).
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ICIP09(141-144).
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Wang, C.[Chao], Sun, L.F.[Li-Feng], Chen, Z.Y.[Zhuo-Yuan], Yang, S.Q.[Shi-Qiang], Zhang, J.W.[Jian-Wei],
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ICIP09(149-152).
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Wang, C.[Chao], Sun, L.F.[Li-Feng], Chen, Z.Y.[Zhuo-Yuan], Yang, S.Q.[Shi-Qiang], Zhang, J.W.[Jian-Wei],
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Sun, Y.[Yubao], Wei, Z.H.[Zhi-Hui],
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Dai, S.Y.[Sheng-Yang], Wu, Y.[Ying],
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ICIP08(661-664).
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CVPR08(1-8).
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CVPR08(1-8).
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Rotational Motion Deblurring of a Rigid Object from a Single Image,
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Single Image Motion Deblurring Using Transparency,
CVPR07(1-8).
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Interactive Motion Segmentation,
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ICCV07(1-8).
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Three-Stage Motion Deblurring from a Video,
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Super-resolution interpolation with a quasi blur-hypothesis,
ICIP11(1145-1148).
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Tsubaki, I.[Ikuko], Komatsu, T.[Takashi], Saito, T.[Takahiro],
Interframe Motion Deblurring using Spatio-Temporal Regularization,
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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
Richardson-Lucy Algorithm .

Last update:Jan 13, 2022 at 22:02:22