18.4.3.16.1 Blind Image Deblurring

Chapter Contents (Back)
Super Resolution. Deblurring.

You, Y.L., Kaveh, M.,
Blind Image Restoration by Anisotropic Regularization,
IP(8), No. 3, March 1999, pp. 396-407.
IEEE DOI BibRef 9903
Earlier:
Anisotropic blind image restoration,
ICIP96(II: 461-464).
IEEE DOI BibRef

Sapiro, G., Tannenbaum, A., You, Y.L.[Yu-Li], Kaveh, M.,
Experiments on geometric image enhancement,
ICIP94(II: 472-476).
IEEE DOI 9411
BibRef

Guo, Y.P., Lee, H.P., Teo, C.L.,
Blind Restoration of Images Degraded by Space-Variant Blurs Using Iterative Algorithms for Both Blur Identification and Image Restoration,
IVC(15), No. 5, May 1997, pp. 399-410.
Elsevier DOI 9706
BibRef

Guo, Y.P., Lee, H.P., Teo, C.L.,
Multichannel Image Restorations Using an Iterative Algorithm in Space Domain,
IVC(14), No. 6, June 15 1996, pp. 389-400.
Elsevier DOI 9607
BibRef

Harikumar, G.[Gopal], Bresler, Y.[Yoram],
Perfect Blind Restoration of Images Blurred by Multiple Filters: Theory and Efficient Algorithms,
IP(8), No. 2, February 1999, pp. 202-219.
IEEE DOI BibRef 9902
Earlier:
Efficient Algorithms for the Blind Recovery of Images Blurred by Multiple Filters,
ICIP96(III: 97-100).
IEEE DOI BibRef

Markham, J.[Joanne], Conchello, J.A.[José-Angel],
Parametric blind deconvolution: a robust method for the simultaneous estimation of image and blur,
JOSA-A(16), No. 10, October 1999, pp. 2377-2391. BibRef 9910

Giannakis, G.B., Heath, Jr., R.W.,
Blind Identification of Multichannel FIR Blurs and Perfect Image Restoration,
IP(9), No. 11, November 2000, pp. 1877-1896.
IEEE DOI 0011
BibRef
Earlier:
Blurs and perfect image restoration,
ICIP96(I: 717-720).
IEEE DOI 9610
BibRef

Money, J.H.[James H.], Kang, S.H.[Sung Ha],
Total variation minimizing blind deconvolution with shock filter reference,
IVC(26), No. 2, 1 February 2008, pp. 302-314.
Elsevier DOI 0711
Image deblurring; Blind deconvolution; Total variation; Variational method; L1 norm; L2 norm BibRef

van Zyl Marais, I.[Izak], Steyn, W.H.[Willem Herman],
Robust defocus blur identification in the context of blind image quality assessment,
SP:IC(22), No. 10, November 2007, pp. 833-844.
Elsevier DOI 0711
Quality estimation; Blind deconvolution; Blur estimation BibRef

Almeida, M.S.C., Almeida, L.B.,
Blind and Semi-Blind Deblurring of Natural Images,
IP(19), No. 1, January 2010, pp. 36-52.
IEEE DOI 1001
BibRef

Cai, J.F.[Jian-Feng], Ji, H.[Hui], Liu, C.Q.[Chao-Qiang], Shen, Z.W.[Zuo-Wei],
Framelet-Based Blind Motion Deblurring From a Single Image,
IP(21), No. 2, February 2012, pp. 562-572.
IEEE DOI 1201
BibRef
Earlier:
Blind motion deblurring from a single image using sparse approximation,
CVPR09(104-111).
IEEE DOI 0906
BibRef

Zhang, W.[Wei], Cham, W.K.[Wai-Kuen],
Single-Image Refocusing and Defocusing,
IP(21), No. 2, February 2012, pp. 873-882.
IEEE DOI 1201
BibRef
Earlier:
High quality artifact-free super-resolution,
ICIP10(889-892).
IEEE DOI 1009
BibRef
And:
Single image focus editing,
CRICV09(1947-1954).
IEEE DOI 0910
BibRef
Earlier:
A single image based blind super-resolution approach,
ICIP08(329-332).
IEEE DOI 0810
BibRef

Zhang, W.[Wei], Cham, W.K.[Wai-Kuen],
Gradient-Directed Multiexposure Composition,
IP(21), No. 4, April 2012, pp. 2318-2323.
IEEE DOI 1204
BibRef

Li, W.[Wen], Zhang, J.[Jun], Dai, Q.H.[Qiong-Hai],
Robust blind motion deblurring using near-infrared flash image,
JVCIR(24), No. 8, 2013, pp. 1394-1413.
Elsevier DOI 1312
BibRef
Earlier:
Exploring aligned complementary image pair for blind motion deblurring,
CVPR11(273-280).
IEEE DOI 1106
Motion blur BibRef

Yue, T.[Tao], Suo, J.L.[Jin-Li], Ji, X.Y.[Xiang-Yang], Dai, Q.H.[Qiong-Hai],
Optical Computing System for Fast Non-uniform Image Deblurring,
CCD13(937-944)
IEEE DOI 1309
Non-uniform Deblurring;Optical Computing BibRef

Wang, C., Yue, Y., Dong, F., Tao, Y., Ma, X., Clapworthy, G., Lin, H., Ye, X.,
Nonedge-Specific Adaptive Scheme for Highly Robust Blind Motion Deblurring of Natural Images,
IP(22), No. 3, March 2013, pp. 884-897.
IEEE DOI 1302
BibRef

Tendero, Y., Morel, J.M.,
An Optimal Blind Temporal Motion Blur Deconvolution Filter,
SPLetters(20), No. 5, May 2013, pp. 523-526.
IEEE DOI 1304
BibRef

Almeida, M.S.C., Figueiredo, M.A.T.,
Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures,
IP(22), No. 7, 2013, pp. 2751-2763.
IEEE DOI 1307
image restoration; blind deblurring; image deconvolution/deblurring BibRef

Oliveira, J.P.[João P.], Figueiredo, M.A.T.[Mário A.T.], Bioucas-Dias, J.M.[José M.],
Parametric Blur Estimation for Blind Restoration of Natural Images: Linear Motion and Out-of-Focus,
IP(23), No. 1, January 2014, pp. 466-477.
IEEE DOI 1402
BibRef
Earlier:
Blind Estimation of Motion Blur Parameters for Image Deconvolution,
IbPRIA07(II: 604-611).
Springer DOI 0706
Radon transforms BibRef

Bong, D.B.L.[David Boon Liang], Khoo, B.E.[Bee Ee],
Blind image blur assessment by using valid reblur range and histogram shape difference,
SP:IC(29), No. 6, 2014, pp. 699-710.
Elsevier DOI 1406
Blur metric BibRef

Yin, M.[Ming], Gao, J.B.[Jun-Bin], Tien, D.[David], Cai, S.[Shuting],
Blind image deblurring via coupled sparse representation,
JVCIR(25), No. 5, 2014, pp. 814-821.
Elsevier DOI 1406
Blind deblurring BibRef

Bong, D.B.L.[David B.L.], Khoo, B.E.[Bee Ee],
An Efficient and Training-Free Blind Image Blur Assessment in the Spatial Domain,
IEICE(E97-D), No. 7, July 2014, pp. 1864-1871.
WWW Link. 1407
BibRef

Zhang, H.C.[Hai-Chao], Wipf, D.[David], Zhang, Y.N.[Yan-Ning],
Multi-Observation Blind Deconvolution with an Adaptive Sparse Prior,
PAMI(36), No. 8, August 2014, pp. 1628-1643.
IEEE DOI 1407
BibRef
Earlier:
Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior,
CVPR13(1051-1058)
IEEE DOI 1309
adaptive coupled sparsity Algorithm design and analysis BibRef

Li, H.S.[Hai-Sen], Zhang, Y.N.[Yan-Ning], Sun, J.Q.[Jin-Qiu], Gong, D.[Dong],
Joint Motion Deblurring with Blurred/Noisy Image Pair,
ICPR14(1020-1024)
IEEE DOI 1412
Cameras BibRef

Li, H.S.[Hai-Sen], Zhang, Y.N.[Yan-Ning], Zhang, H.C.[Hai-Chao], Zhu, Y.[Yu], Sun, J.Q.[Jin-Qiu],
Blind Image Deblurring Based on Sparse Prior of Dictionary Pair,
ICPR12(3054-3057).
WWW Link. 1302
BibRef

Liu, G.C.[Guang-Can], Chang, S.[Shiyu], Ma, Y.[Yi],
Blind Image Deblurring Using Spectral Properties of Convolution Operators,
IP(23), No. 12, December 2014, pp. 5047-5056.
IEEE DOI 1412
convex programming BibRef

Shao, W.Z.[Wen-Ze], Deng, H.S.[Hai-Song], Ge, Q.[Qi], Li, H.B.[Hai-Bo], Wei, Z.H.[Zhi-Hui],
Regularized motion blur-kernel estimation with adaptive sparse image prior learning,
PR(51), No. 1, 2016, pp. 402-424.
Elsevier DOI 1601
Blind deconvolution BibRef

Liu, H.[Hong], Liu, B.[Ben_Yong],
Blind Image Deblurring Using Weighted Sum of Gaussian Kernels for Point Spread Function Estimation,
IEICE(E98-D), No. 11, November 2015, pp. 2026-2029.
WWW Link. 1512
BibRef

Kerouh, F.[Fatma], Serir, A.[Amina],
Wavelet-based blind blur reduction,
SIViP(9), No. 7, October 2015, pp. 1587-1599.
WWW Link. 1509
BibRef

Leclaire, A.[Arthur], Moisan, L.[Lionel],
No-Reference Image Quality Assessment and Blind Deblurring with Sharpness Metrics Exploiting Fourier Phase Information,
JMIV(52), No. 1, May 2015, pp. 145-172.
WWW Link. 1505
BibRef
Earlier:
Blind Deblurring Using a Simplified Sharpness Index,
SSVM13(86-97).
Springer DOI 1305
BibRef

Shao, W.Z.[Wen-Ze], Li, H.B.[Hai-Bo], Elad, M.[Michael],
Bi-l0-l2-norm regularization for blind motion deblurring,
JVCIR(33), No. 1, 2015, pp. 42-59.
Elsevier DOI 1512
Camera shake removal BibRef

Li, J.[Jie], Lu, W.[Wei],
Blind image motion deblurring with -regularized priors,
JVCIR(40, Part A), No. 1, 2016, pp. 14-23.
Elsevier DOI 1609
Blind motion deblurring BibRef

Zhang, Y., Hirakawa, K.,
Blind Deblurring and Denoising of Images Corrupted by Unidirectional Object Motion Blur and Sensor Noise,
IP(25), No. 9, September 2016, pp. 4129-4144.
IEEE DOI 1609
cameras BibRef

Perrone, D.[Daniele], Favaro, P.[Paolo],
A Logarithmic Image Prior for Blind Deconvolution,
IJCV(117), No. 2, April 2016, pp. 159-172.
Springer DOI 1604
BibRef
Earlier:
Total Variation Blind Deconvolution: The Devil Is in the Details,
CVPR14(2909-2916)
IEEE DOI 1409
Deconvolution. MAP BibRef

Perrone, D.[Daniele], Favaro, P.[Paolo],
A Clearer Picture of Total Variation Blind Deconvolution,
PAMI(38), No. 6, June 2016, pp. 1041-1055.
IEEE DOI 1605
Algorithm design and analysis BibRef

Chandramouli, P.[Paramanand], Noroozi, M.[Mehdi], Favaro, P.[Paolo],
ConvNet-Based Depth Estimation, Reflection Separation and Deblurring of Plenoptic Images,
ACCV16(III: 129-144).
Springer DOI 1704
BibRef

Jin, H.L.[Hai-Lin], Chandramouli, P., Favaro, P.[Paolo],
Bilayer Blind Deconvolution with the Light Field Camera,
IR15(208-216)
IEEE DOI 1602
Cameras BibRef

Perrone, D.[Daniele], Diethelm, R.[Remo], Favaro, P.[Paolo],
Blind Deconvolution via Lower-Bounded Logarithmic Image Priors,
EMMCVPR15(112-125).
Springer DOI 1504
BibRef

Perrone, D.[Daniele], Ravichandran, A.[Avinash], Vidal, R.[René], Favaro, P.[Paolo],
Image Priors for Image Deblurring with Uncertain Blur,
BMVC12(114).
DOI Link 1301
BibRef

Zhang, L., Zhou, L., Huang, H.,
Bundled Kernels for Nonuniform Blind Video Deblurring,
CirSysVideo(27), No. 9, September 2017, pp. 1882-1894.
IEEE DOI 1709
Cameras, Deconvolution, Estimation, Image restoration, Kernel, Video sequences, Bundled kernels, homography, residual deconvolution, video, deblurring BibRef

Dong, J.X.[Jiang-Xin], Pan, J.S.[Jin-Shan], Su, Z.X.[Zhi-Xun],
Blur Kernel Estimation Via Salient Edges and Low Rank Prior for Blind Image Deblurring,
SP:IC(58), No. 1, 2017, pp. 134-145.
Elsevier DOI 1710
Blind, image, deblurring BibRef

Tang, S.[Shu], Xie, X.Z.[Xian-Zhong], Xia, M.[Ming], Luo, L.[Lei], Liu, P.S.[Pei-Song], Li, Z.X.[Zhi-Xing],
Spatial-scale-regularized blur kernel estimation for blind image deblurring,
SP:IC(68), 2018, pp. 138-154.
Elsevier DOI 1810
Blind image deblurring, Spatial scale, Shock filter, Large-scale edges, Blur kernel BibRef

Chandramouli, P., Jin, M., Perrone, D., Favaro, P.,
Plenoptic Image Motion Deblurring,
IP(27), No. 4, April 2018, pp. 1723-1734.
IEEE DOI 1802
Cameras, Estimation, Lenses, Microoptics, Sensor arrays, Spatial resolution, Plenoptic camera, blind deconvolution, motion blur BibRef

Shen, Z.Y.[Zi-Yi], Xu, T.F.[Ting-Fa], Pan, J.S.[Jin-Shan], Guo, J.[Jie],
Non-uniform motion deblurring with Kernel grid regularization,
SP:IC(62), 2018, pp. 1-15.
Elsevier DOI 1802
Non-uniform deblurring, Blind deconvolution, Total variation regularization, Kernel mapping BibRef

Zachevsky, I., Zeevi, Y.Y.,
Blind Deblurring of Natural Stochastic Textures Using an Anisotropic Fractal Model and Phase Retrieval Algorithm,
IP(28), No. 2, February 2019, pp. 937-951.
IEEE DOI 1811
Kernel, Fractals, Estimation, Image edge detection, Stochastic processes, Correlation, natural stochastic textures BibRef

Liu, X.M.[Xian-Ming], Cheung, G.[Gene], Liu, X., Gao, W.[Wen],
Graph-Based Blind Image Deblurring From a Single Photograph,
IP(28), No. 3, March 2019, pp. 1404-1418.
IEEE DOI 1812
Image restoration, Kernel, Skeleton, Image edge detection, Laplace equations, Symmetric matrices, Optimization, non-convex optimization BibRef

Tirer, T., Giryes, R.,
Image Restoration by Iterative Denoising and Backward Projections,
IP(28), No. 3, March 2019, pp. 1220-1234.
IEEE DOI 1812
BibRef
Earlier:
An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring,
ICIP18(973-977)
IEEE DOI 1809
image denoising, image restoration, inverse problems, iterative methods, minimisation, image restoration, denoising neural network. Kernel, Estimation, Noise reduction, Tuning, Image edge detection, Task analysis, Plug-and-Play, parameter tuning. BibRef

Tirer, T., Giryes, R.,
Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning,
SPLetters(26), No. 7, July 2019, pp. 1080-1084.
IEEE DOI 1906
Training, Image resolution, Deep learning, Signal resolution, Noise reduction, Optimization, Kernel, Deep learning, plug-and-play BibRef

Ljubenovic, M.[Marina], Figueiredo, M.A.T.[Mário A. T.],
Plug-and-play approach to class-adapted blind image deblurring,
IJDAR(22), No. 2, June 2019, pp. 79-97.
WWW Link. 1906
BibRef
Earlier:
Blind image deblurring using class-adapted image priors,
ICIP17(490-494)
IEEE DOI 1803
Convolution, Estimation, Face, Image restoration, Inverse problems, Kernel, Noise level, ADMM, Blind deblurring, Gaussian mixtures, plug-and-play BibRef

Graham, L.[Lior], Yitzhaky, Y.[Yitzhak],
Blind restoration of space-variant Gaussian-like blurred images using regional PSFs,
SIViP(13), No. 4, June 2019, pp. 711-717.
WWW Link. 1906
BibRef

Feng, Q.[Qiu], Fei, H.[Hou], Wencheng, W.[Wang],
Blind image deblurring with reinforced use of edges,
VC(35), No. 6-8, June 2018, pp. 1081-1090.
WWW Link. 1906
BibRef

Li, L.[Lerenhan], Pan, J.S.[Jin-Shan], Lai, W.S.[Wei-Sheng], Gao, C.X.[Chang-Xin], Sang, N.[Nong], Yang, M.H.[Ming-Hsuan],
Blind Image Deblurring via Deep Discriminative Priors,
IJCV(127), No. 8, August 2019, pp. 1025-1043.
Springer DOI 1907
BibRef
Earlier:
Learning a Discriminative Prior for Blind Image Deblurring,
CVPR18(6616-6625)
IEEE DOI 1812
Image restoration, Kernel, Training, Image edge detection, Face, Deconvolution, Computational modeling BibRef

Dong, J.X.[Jiang-Xin], Pan, J.S.[Jin-Shan], Sun, D.[Deqing], Su, Z.X.[Zhi-Xun], Yang, M.H.[Ming-Hsuan],
Learning Data Terms for Non-blind Deblurring,
ECCV18(XI: 777-792).
Springer DOI 1810
BibRef

Pan, J.S.[Jin-Shan], Dong, J.X.[Jiang-Xin], Tai, Y.W., Su, Z.X.[Zhi-Xun], Yang, M.H.[Ming-Hsuan],
Learning Discriminative Data Fitting Functions for Blind Image Deblurring,
ICCV17(1077-1085)
IEEE DOI 1802
deconvolution, image motion analysis, image restoration, learning (artificial intelligence), blind image deblurring, Optimization BibRef

Zheng, S., Zhu, Z., Cheng, J., Guo, Y., Zhao, Y.,
Edge Heuristic GAN for Non-Uniform Blind Deblurring,
SPLetters(26), No. 10, October 2019, pp. 1546-1550.
IEEE DOI 1909
Image edge detection, Generators, Kernel, Task analysis, Image reestoration, edge heuristic BibRef

Peña, F.A.G., Fernández, P.D.M.[P. D. Marrero], Ren, T.I.[T. Ing], de Jesus Gomes Leandro, J., Nishihara, R.M.,
Burst Ranking for Blind Multi-Image Deblurring,
IP(29), No. 1, 2020, pp. 947-958.
IEEE DOI 1910
Image reconstruction, Kernel, Degradation, Sorting, Measurement, Training, Indexes, Blurred images sorting, deep learning, multi-image deblurring BibRef

Liu, L.X.[Li-Xiong], Gong, J.C.[Jia-Chao], Huang, H.[Hua], Sang, Q.B.[Qing-Bing],
Blind image blur metric based on orientation-aware local patterns,
SP:IC(80), 2020, pp. 115654.
Elsevier DOI 1912
Blind blur metric, Orientation selectivity, Orientation-aware local pattern, Toggle operator BibRef

Adam, T.[Tarmizi], Paramesran, R.[Raveendran],
Hybrid non-convex second-order total variation with applications to non-blind image deblurring,
SIViP(14), No. 1, February 2020, pp. 115-123.
WWW Link. 2001
BibRef

Wu, J.D.[Jun-De], Di, X.G.[Xiao-Guang],
Integrating Neural Networks Into the Blind Deblurring Framework to Compete With the End-to-End Learning-Based Methods,
IP(29), 2020, pp. 6841-6851.
IEEE DOI 2007
Image restoration, Neural networks, Kernel, Optimization, Learning systems, Estimation, Training, Image deblurring, supervised learning BibRef

Wu, C.D.[Chu-Dan], Wo, Y.[Yan], Han, G.Q.[Guo-Qing], Wu, Z.Y.[Zhang-Yong], Liang, J.Y.[Ji-Yun],
Non-uniform image blind deblurring by two-stage fully convolution network,
IET-IPR(14), No. 11, September 2020, pp. 2588-2596.
DOI Link 2009
BibRef

Yu, X.Y.[Xiao Yuan], Xie, W.[Wei],
Single Image Blind Deblurring Based on Salient Edge-Structures and Elastic-Net Regularization,
JMIV(62), No. 8, October 2020, pp. xx-yy.
WWW Link. 2009
BibRef

Yuan, Q.[Quan], Li, J.[Junxia], Zhang, L.W.[Ling-Wei], Wu, Z.F.[Zhe-Fu], Liu, G.Y.[Guang-Yu],
Blind motion deblurring with cycle generative adversarial networks,
VC(36), No. 8, August 2020, pp. 1591-1601.
WWW Link. 2007
BibRef

Kotera, J., Matas, J.G., Šroubek, F.,
Restoration of Fast Moving Objects,
IP(29), 2020, pp. 8577-8589.
IEEE DOI 2008
BibRef
Earlier: A1, A3, Only:
Motion Estimation and Deblurring of Fast Moving Objects,
ICIP18(2860-2864)
IEEE DOI 1809
Blind deconvolution, motion deblurring, object deblurring, motion estimation, image matting, shape estimation, alternating direction method of multipliers. Estimation, Minimization, Image restoration, Convolution, Cameras, Shape, blind deblurring, alternating minimization BibRef

Li, L., Zhou, Y., Gu, K., Yang, Y., Fang, Y.,
Blind Realistic Blur Assessment Based on Discrepancy Learning,
CirSysVideo(30), No. 11, November 2020, pp. 3859-3869.
IEEE DOI 2011
Measurement, Training, Feature extraction, Databases, Entropy, Image edge detection, Image capture, Realistic blur assessment, variation of power BibRef

Hsieh, P.W.[Po-Wen], Shao, P.C.A.[Pei-Chi-Ang],
Blind image deblurring based on the sparsity of patch minimum information,
PR(109), 2021, pp. 107597.
Elsevier DOI 2009
Sparsity, Patch minimum information, Blind image deblurring, Kernel estimation, Adaptive regularization, Variational model BibRef

Xu, Z.H.[Zhen-Hua], Chen, H.[Huasong], Li, Z.H.[Zhen-Hua],
Fast blind deconvolution using a deeper sparse patch-wise maximum gradient prior,
SP:IC(90), 2021, pp. 116050.
Elsevier DOI 2012
Blind deblurring, Patch-wise maximum gradient prior, -regularized prior BibRef

Zhao, H.T.[Hong-Tian], Wu, D.[Di], Su, H.[Hang], Zheng, S.B.[Shi-Bao], Chen, J.[Jie],
Gradient-based conditional generative adversarial network for non-uniform blind deblurring via DenseResNet,
JVCIR(74), 2021, pp. 102921.
Elsevier DOI 2101
Image deblurring, Conditional GAN, DenseResNet, based gradient loss BibRef

Sun, D.J.[Dian-Jun], Shi, Y.[Yu], Feng, Y.Y.[Ya-Yuan],
Blind deblurring and denoising via a learning deep CNN denoiser prior and an adaptive L 0-regularised gradient prior for passive millimetre-wave images,
IET-IPR(14), No. 17, 24 December 2020, pp. 4774-4784.
DOI Link 2104
BibRef

Xu, Y.[Yong], Zhu, Y.[Ye], Quan, Y.[Yuhui], Ji, H.[Hui],
Attentive deep network for blind motion deblurring on dynamic scenes,
CVIU(205), 2021, pp. 103169.
Elsevier DOI 2103
Blind motion deblurring, Deep learning, Spatial attention, Channel attention, Image recovery BibRef

Niu, W.J.[Wen-Jia], Zhang, K.H.[Kai-Hao], Luo, W.H.[Wen-Han], Zhong, Y.R.[Yi-Ran],
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding,
IP(30), 2021, pp. 7101-7111.
IEEE DOI 2108
Superresolution, Dynamics, Image restoration, Task analysis, Feature extraction, Spatial resolution, Streaming media, dynamic spatio-temporal learning BibRef

Ge, X.Y.[Xian-Yu], Tan, J.Q.[Jie-Qing], Zhang, L.[Li],
Blind Image Deblurring Using a Non-Linear Channel Prior Based on Dark and Bright Channels,
IP(30), 2021, pp. 6970-6984.
IEEE DOI 2108
Kernel, Image edge detection, Channel estimation, Estimation, Image restoration, Optimization, Faces, Blind image deblurring, non-linear channel BibRef

Wen, F.[Fei], Ying, R.[Rendong], Liu, Y.[Yipeng], Liu, P.[Peilin], Truong, T.K.[Trieu-Kien],
A Simple Local Minimal Intensity Prior and an Improved Algorithm for Blind Image Deblurring,
CirSysVideo(31), No. 8, August 2021, pp. 2923-2937.
IEEE DOI 2108
Kernel, Approximation algorithms, Image edge detection, Image restoration, Convolution, Measurement, Image deblurring, intensity sparsity prior BibRef

Wan, S.D.[Sheng-Dao], Tang, S.[Shu], Xie, X.Z.[Xian-Zhong], Gu, J.[Jia], Huang, R.[Rong], Ma, B.[Bin], Luo, L.[Lei],
Deep Convolutional-Neural-Network-Based Channel Attention for Single Image Dynamic Scene Blind Deblurring,
CirSysVideo(31), No. 8, August 2021, pp. 2994-3009.
IEEE DOI 2108
Cameras, Kernel, Feature extraction, Image restoration, Estimation, Learning systems, Image edge detection, spatial pyramid pooling BibRef


Chen, L.[Liang], Fang, F.M.[Fa-Ming], Zhang, J.W.[Jia-Wei], Liu, J.[Jun], Zhang, G.X.[Gui-Xu],
Oid: Outlier Identifying and Discarding in Blind Image Deblurring,
ECCV20(XXV:598-613).
Springer DOI 2011
BibRef

Ma, B., Trisovic, J., Loeliger, H.A.,
Multi-Image Blind Deblurring Using a Smoothed NUV Prior and Iteratively Reweighted Coordinate Descent,
ICIP20(973-977)
IEEE DOI 2011
Kernel, Cost function, Minimization, Image restoration, Estimation, Image color analysis, Cameras, Blind image deblurring, iteratively reweighted coordinate descent BibRef

Zhou, K., Zhuang, P., Xiong, J., Zhao, J., Du, M.,
Blind Image Deblurring With Joint Extreme Channels And L0-Regularized Intensity And Gradient Priors,
ICIP20(873-877)
IEEE DOI 2011
Blind image deblurring, extreme channel-s prior, L0-regularized intensity and gradient, half-quadratic splitting. BibRef

Chen, L.[Liang], Fang, F.M.[Fa-Ming], Lei, S.[Shen], Li, F.[Fang], Zhang, G.X.[Gui-Xu],
Enhanced Sparse Model for Blind Deblurring,
ECCV20(XXV:631-646).
Springer DOI 2011
BibRef

Nan, Y., Quan, Y., Ji, H.,
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring,
CVPR20(3623-3632)
IEEE DOI 2008
Noise level, Image restoration, Machine learning, Artificial neural networks, Noise measurement, Uncertainty, Kernel BibRef

Yang, L.[Liuge], Ji, H.[Hui],
A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring,
CVPR19(10159-10168).
IEEE DOI 2002
BibRef

Pan, L.Y.[Li-Yuan], Hartley, R.[Richard], Liu, M.M.[Miao-Miao], Dai, Y.C.[Yu-Chao],
Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring,
CVPR19(6027-6036).
IEEE DOI 2002
BibRef

Liu, Y., Ye, L., Shao, W., Ge, Q., Wang, L., Bao, B., Li, H.,
Adversarial Representation Learning for Dynamic Scene Deblurring: A Simple, Fast and Robust Approach,
ICIP19(4644-4648)
IEEE DOI 1910
Dynamic scence deblurring, adversarial training, auto-encoder, blind deconvolution BibRef

Chen, L.[Liang], Fang, F.[Faming], Wang, T.T.[Ting-Ting], Zhang, G.X.[Gui-Xu],
Blind Image Deblurring With Local Maximum Gradient Prior,
CVPR19(1742-1750).
IEEE DOI 2002
BibRef

Xu, Y., Zheng, W., Qi, J., Li, Q.,
Blind Image Blur Assessment Based on Markov-Constrained FCM and Blur Entropy,
ICIP19(4519-4523)
IEEE DOI 1910
Image Blur Assessment, Markov Constrained FCM Clustering, Blur Entropy BibRef

Vasu, S., Maligireddy, V.R., Rajagopalan, A.N.,
Non-blind Deblurring: Handling Kernel Uncertainty with CNNs,
CVPR18(3272-3281)
IEEE DOI 1812
Kernel, Image restoration, Noise measurement, Deconvolution, Training, Uncertainty, Estimation BibRef

Kupyn, O., Budzan, V., Mykhailych, M., Mishkin, D., Matas, J.G.,
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks,
CVPR18(8183-8192)
IEEE DOI 1812
Kernel, Generators, Generative adversarial networks, Image restoration, Training, Convolution BibRef

Lee, D.[Dongwoo], Park, H.[Haesol], Park, I.K.[In Kyu], Lee, K.M.[Kyoung Mu],
Joint Blind Motion Deblurring and Depth Estimation of Light Field,
ECCV18(XVI: 300-316).
Springer DOI 1810
BibRef

Guo, Y., Ma, H.,
An Adaptive Patch Prior for Single Image Blind Deblurring,
ICIP18(2870-2874)
IEEE DOI 1809
Image edge detection, Kernel, Estimation, Adaptation models, Transforms, Image segmentation, Brightness, Blind deblurring, internal patch information BibRef

Nimisha, T.M., Singh, A.K., Rajagopalan, A.N.,
Blur-Invariant Deep Learning for Blind-Deblurring,
ICCV17(4762-4770)
IEEE DOI 1802
Cameras, Dictionaries, Image restoration, Kernel, Machine learning, Training BibRef

Bahat, Y., Efrat, N., Irani, M.,
Non-uniform Blind Deblurring by Reblurring,
ICCV17(3306-3314)
IEEE DOI 1802
image restoration, learning (artificial intelligence), CNN-based blind-deblurring, blind image deblurring, Training data BibRef

Srinivasan, P.P., Ng, R., Ramamoorthi, R.,
Light Field Blind Motion Deblurring,
CVPR17(2354-2362)
IEEE DOI 1711
Apertures, Cameras, Estimation, Kernel, Photography BibRef

Zon, N.[Naftali], Hanocka, R.[Rana], Kiryati, N.[Nahum],
Fast and Easy Blind Deblurring Using an Inverse Filter and PROBE,
CAIP17(II: 269-281).
Springer DOI 1708
BibRef

Lai, W.S., Huang, J.B., Hu, Z., Ahuja, N., Yang, M.H.,
A Comparative Study for Single Image Blind Deblurring,
CVPR16(1701-1709)
IEEE DOI 1612
BibRef

Chakrabarti, A.[Ayan],
A Neural Approach to Blind Motion Deblurring,
ECCV16(III: 221-235).
Springer DOI 1611
BibRef

Lee, C.C., Hwang, W.L.,
Sparse representation of a blur kernel for out-of-focus blind image restoration,
ICIP16(2698-2702)
IEEE DOI 1610
Convolution BibRef

Michaeli, T.[Tomer], Irani, M.[Michal],
Blind Deblurring Using Internal Patch Recurrence,
ECCV14(III: 783-798).
Springer DOI 1408
BibRef

Zhou, Y.[Yipin], Komodakis, N.[Nikos],
A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors,
ECCV14(II: 142-157).
Springer DOI 1408
BibRef

Gong, W.G.[Wei-Guo], Wang, W.Z.[Wen-Zhi], Li, W.H.[Wei-Hong], Tang, S.[Shu],
Temporal Consistency Based Method for Blind Video Deblurring,
ICPR14(861-864)
IEEE DOI 1412
Anisotropic magnetoresistance BibRef

Ji, H.[Hui], Wang, K.[Kang],
A two-stage approach to blind spatially-varying motion deblurring,
CVPR12(73-80).
IEEE DOI 1208
BibRef

Jin, M.G.[Mei-Guang], Roth, S.[Stefan], Favaro, P.[Paolo],
Normalized Blind Deconvolution,
ECCV18(VII: 694-711).
Springer DOI 1810
BibRef
Earlier:
Noise-Blind Image Deblurring,
CVPR17(3834-3842)
IEEE DOI 1711
Algorithm design and analysis, Bayes methods, Estimation, Image restoration, Kernel, Noise level, Robustness BibRef

Asai, H.[Haruka], Oyamada, Y.[Yuji], Pilet, J.[Julien], Saito, H.[Hideo],
Cepstral analysis based blind deconvolution for motion blur,
ICIP10(1153-1156).
IEEE DOI 1009
BibRef

Zhang, H.C.[Hai-Chao], Zhang, Y.N.[Yan-Ning],
Robust Multiframe Blind Image Deblurring,
CISP09(1-5).
IEEE DOI 0910
BibRef

Lee, W.H.[Wen-Hao], Lai, S.H.[Shang-Hong], Chen, C.L.[Chia-Lun],
Iterative Blind Image Motion Deblurring via Learning a No-Reference Image Quality Measure,
ICIP07(IV: 405-408).
IEEE DOI 0709
BibRef

Jang, K.E.[Kwang Eun], Yang, H.W.[Hee Won], Ye, J.C.[Jong Chul],
Single channel 2-D and 3-D blind image deconvolution for circularly symmetric fir blurs,
ICIP09(1313-1316).
IEEE DOI 0911
BibRef

Bhutta, A.A.[Adeel A.], Foroosh, H.[Hassan],
Blind Blur Estimation Using Low Rank Approximation of Cepstrum,
ICIAR06(I: 94-103).
Springer DOI 0610
BibRef

Gerace, I., Pandolfi, R., Pucci, P.,
A new estimation of blur in the blind restoration problem,
ICIP03(I: 261-264).
IEEE DOI 0312
BibRef

Rahmani, P.[Pejman], Vozel, B.[Benoît], Chehdi, K.[Kacem],
Sequential Blind PSF Estimation and Restoration of Aerial Multispectral Images,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Vozel, B.[Benoît], Chehdi, K.[Kacem], Carton-Vandecandelaere, M.P.,
A Blind Restoration System of Blurred and Noisy Numerical Images,
ICIP00(Vol I: 105-108).
IEEE DOI 0008
BibRef

Schechner, Y.Y.[Yoav Y.], Kiryati, N.[Nahum], Shamir, J.[Joseph],
Blind Recovery of Transparent and Semireflected Scenes,
CVPR00(I: 38-43).
IEEE DOI 0005
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Super Resolution, Restoration, for Atmosphere Effects, Turbulence .


Last update:Oct 24, 2021 at 16:35:58