19.4.3.21.1 Blind Image Deblurring

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], Wang, W.C.[Wen-Cheng],
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.Q.[De-Qing], 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.X.[Jun-Xia], 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.H.[Yu-Hui], 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.D.[Ren-Dong], Liu, Y.P.[Yi-Peng], Liu, P.L.[Pei-Lin], 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

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

Hu, D.D.[Dan-Dan], Tan, J.[Jieqing], Zhang, L.[Li], Ge, X.Y.[Xian-Yu], Liu, J.[Jing],
Salient edges combined with image structures for image deblurring,
SP:IC(107), 2022, pp. 116787.
Elsevier DOI 2208
Salient edges, Image structures, Kernel estimation, Blind image deblurring BibRef

Zhang, Z.[Ziyu], Zheng, L.L.[Liang-Liang], Piao, Y.J.[Yong-Jie], Tao, S.P.[Shu-Ping], Xu, W.[Wei], Gao, T.[Tan], Wu, X.B.[Xia-Bin],
Blind Remote Sensing Image Deblurring Using Local Binary Pattern Prior,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Luo, B.[Bing], Cheng, Z.Z.[Zhong-Zhe], Xu, L.[Li], Zhang, G.[Guangrong], Li, H.L.[Hong-Liang],
Blind Image Deblurring via Superpixel Segmentation Prior,
CirSysVideo(32), No. 3, March 2022, pp. 1467-1482.
IEEE DOI 2203
Image segmentation, Image restoration, Kernel, Entropy, Estimation, Image edge detection, Transforms, Blind image deblurring, roughness BibRef

Mao, Y.X.[Yu-Xin], Wan, Z.[Zhexiong], Dai, Y.C.[Yu-Chao], Yu, X.[Xin],
Deep Idempotent Network for Efficient Single Image Blind Deblurring,
CirSysVideo(33), No. 1, January 2023, pp. 172-185.
IEEE DOI 2301
Image restoration, Real-time systems, Deep learning, Mathematical models, Kernel, Training, efficient deblurring BibRef

Xia, B.[Bin], Tian, Y.P.[Ya-Peng], Zhang, Y.L.[Yu-Lun], Hang, Y.C.[Yu-Cheng], Yang, W.M.[Wen-Ming], Liao, Q.M.[Qing-Min],
Meta-Learning-Based Degradation Representation for Blind Super-Resolution,
IP(32), 2023, pp. 3383-3396.
IEEE DOI 2307
Degradation, Training, Kernel, Image coding, Superresolution, Data mining, Transform coding, Blind super-resolution, implicit degradation representation BibRef

Li, F.[Feng], Wu, Y.X.[Yi-Xuan], Bai, H.H.[Hui-Hui], Lin, W.S.[Wei-Si], Cong, R.[Runmin], Zhao, Y.[Yao],
Learning Detail-Structure Alternative Optimization for Blind Super-Resolution,
MultMed(25), 2023, pp. 2825-2838.
IEEE DOI 2307
Kernel, Degradation, Image reconstruction, Image restoration, Optimization, Modulation, Convolutional neural networks, structure modulation BibRef

Shao, W.Z.[Wen-Ze],
Revisiting the Regularizers in Blind Image Deblurring With a New One,
IP(32), 2023, pp. 3994-4009.
IEEE DOI 2307
TV, Image edge detection, Kernel, Estimation, Task analysis, Image restoration, Optimization, Blind deblurring, blur kernel estimation BibRef

Qiu, Y.J.[Ya-Jun], Zhu, Q.[Qiang], Zhu, S.Y.[Shu-Yuan], Zeng, B.[Bing],
Dual Circle Contrastive Learning-Based Blind Image Super-Resolution,
CirSysVideo(34), No. 3, March 2024, pp. 1757-1771.
IEEE DOI 2403
Degradation, Kernel, Superresolution, Task analysis, Training, Estimation, Probabilistic logic, Blind image super-resolution, information distillation BibRef

Nakabayashi, T.[Takuya], Hasegawa, K.[Kunihiro], Matsugu, M.[Masakazu], Saito, H.[Hideo],
Event-based Blur Kernel Estimation For Blind Motion Deblurring,
EventVision23(4120-4128)
IEEE DOI 2309
BibRef

Fang, Z.X.[Zhen-Xuan], Wu, F.F.[Fang-Fang], Dong, W.S.[Wei-Sheng], Li, X.[Xin], Wu, J.J.[Jin-Jian], Shi, G.M.[Guang-Ming],
Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring,
CVPR23(18105-18114)
IEEE DOI 2309
BibRef

Li, J.[Ji], Wang, W.X.[Wei-Xi], Nan, Y.[Yuesong], Ji, H.[Hui],
Self-Supervised Blind Motion Deblurring with Deep Expectation Maximization,
CVPR23(13986-13996)
IEEE DOI 2309
BibRef

Huo, D.[Dong], Masoumzadeh, A.[Abbas], Yang, Y.H.[Yee-Hong],
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency,
NTIRE22(436-445)
IEEE DOI 2210
Training, Degradation, Deep learning, Convolution, Image color analysis BibRef

Zhang, K.[Kai], Liang, J.Y.[Jing-Yun], Van Gool, L.J.[Luc J.], Timofte, R.[Radu],
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution,
ICCV21(4771-4780)
IEEE DOI 2203
Degradation, Q-factor, Superresolution, Pipelines, Transform coding, Network architecture, Cameras, Vision applications and systems BibRef

Wang, P.[Peng], Liu, W.B.[Wei-Bin], Xing, W.W.[Wei-Wei],
Multi-scale Feature Fusion Network for Blind Deblurring,
ICIVC21(453-457)
IEEE DOI 2112
Measurement, Deep learning, Fuses, Convolution, Aggregates, Feature extraction, Decoding, image deblurring, multi-scale, coarse-to-fine BibRef

Tian, S.[Senmao], Zhang, S.[Shunli], Lin, B.B.[Bei-Bei],
Blind Image Deblurring Based on Dual Attention Network and 2D Blur Kernel Estimation,
ICIP21(1729-1733)
IEEE DOI 2201
Estimation, Deburring, Image restoration, Convolutional neural networks, Kernel, Blind image deblurring, 2D blur kernel estimation 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.I.[Richard I.], 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.J.[Yu-Ji], 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:Apr 18, 2024 at 11:38:49