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
Zhou, C.Y.[Chang-Yin],
Lin, S.[Stephen],
Nayar, S.K.[Shree K.],
Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring,
IJCV(93), No. 1, May 2011, pp. 53-72.
WWW Link.
1104
BibRef
Earlier:
Coded aperture pairs for depth from defocus,
ICCV09(325-332).
IEEE DOI
0909
BibRef
Zhou, C.Y.[Chang-Yin],
Nayar, S.K.,
What are good apertures for defocus deblurring?,
ICCP09(1-8).
IEEE DOI
1208
BibRef
Li, L.[Leida],
Yan, Y.[Ya],
Fang, Y.M.[Yu-Ming],
Wang, S.Q.[Shi-Qi],
Tang, L.[Lu],
Qian, J.S.[Jian-Sheng],
Perceptual quality evaluation for image defocus deblurring,
SP:IC(48), No. 1, 2016, pp. 81-91.
Elsevier DOI
1609
Image quality assessment
BibRef
Masoudifar, M.[Mina],
Pourreza, H.R.[Hamid Reza],
Analysis and design of coded apertures for defocus deblurring based on
imaging system properties and optical features,
IET-IPR(11), No. 12, Decmeber 2017, pp. 1123-1134.
DOI Link
1712
BibRef
Ji, H.[Hui],
Wang, K.[Kang],
Robust Image Deblurring With an Inaccurate Blur Kernel,
IP(21), No. 4, April 2012, pp. 1624-1634.
IEEE DOI
1204
BibRef
Quan, Y.H.[Yu-Hui],
Yao, X.[Xin],
Ji, H.[Hui],
Single Image Defocus Deblurring via Implicit Neural Inverse Kernels,
ICCV23(12566-12576)
IEEE DOI
2401
BibRef
Quan, Y.H.[Yu-Hui],
Wu, Z.C.[Zi-Cong],
Xu, R.T.[Ruo-Tao],
Ji, H.[Hui],
Deep Single Image Defocus Deblurring via Gaussian Kernel Mixture
Learning,
PAMI(46), No. 12, December 2024, pp. 11361-11377.
IEEE DOI
2411
BibRef
Earlier: A1, A2, A4, Only:
Neumann Network with Recursive Kernels for Single Image Defocus
Deblurring,
CVPR23(5754-5763)
IEEE DOI
2309
Kernel, Computational modeling, Estimation,
Artificial neural networks, Computational efficiency,
image deblurring
BibRef
Zhao, W.[Wenda],
Hu, G.[Guang],
Wei, F.[Fei],
Wang, H.P.[Hai-Peng],
He, Y.[You],
Lu, H.C.[Hu-Chuan],
Attacking Defocus Detection With Blur-Aware Transformation for
Defocus Deblurring,
MultMed(26), 2024, pp. 5450-5460.
IEEE DOI
2404
Generative adversarial networks, Task analysis,
Feature extraction, Convolution, Training, Robustness, Bridges,
weakly-supervised defocus deblurring
BibRef
Cui, S.[Shuang],
Li, Y.[Yi],
Li, J.M.[Jiang-Meng],
Tang, X.X.[Xiong-Xin],
Su, B.[Bing],
Xu, F.J.[Fan-Jiang],
Xiong, H.[Hui],
Continual Test-Time Adaptation for Single Image Defocus Deblurring via
Causal Siamese Networks,
IJCV(133), No. 7, July 2025, pp. 4134-4157.
Springer DOI
2506
BibRef
Ren, D.W.[Dong-Wei],
Shu, X.Y.[Xin-Ya],
Li, Y.[Yu],
Wu, X.H.[Xiao-He],
Li, J.[Jin],
Zuo, W.M.[Wang-Meng],
Reblurring-Guided Single Image Defocus Deblurring: A Learning Framework
with Misaligned Training Pairs,
IJCV(133), No. 10, October 2025, pp. 6953-6970.
Springer DOI
2511
BibRef
He, Y.H.[Yu-Hang],
Tian, S.M.[Sen-Mao],
Zhang, J.[Jian],
Zhang, S.L.[Shun-Li],
Dual Attention Enhanced Transformer for Image Defocus Deblurring,
ICIP24(1487-1493)
IEEE DOI
2411
Uncertainty, Fuses, Transformers, Image restoration,
Convolutional neural networks, Task analysis,
auxiliary enhanced attention
BibRef
Yang, H.[Hao],
Pan, L.Y.[Li-Yuan],
Yang, Y.[Yan],
Hartley, R.[Richard],
Liu, M.M.[Miao-Miao],
LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network,
CVPR24(24078-24087)
IEEE DOI
2410
Pattern recognition
BibRef
Ye, Q.[Qian],
Suganuma, M.[Masanori],
Okatani, T.[Takayuki],
Accurate Single-Image Defocus Deblurring Based on Improved
Integration with Defocus Map Estimation,
ICIP23(750-754)
IEEE DOI
2312
BibRef
Abuolaim, A.[Abdullah],
Afifi, M.[Mahmoud],
Brown, M.S.[Michael S.],
Improving Single-Image Defocus Deblurring:
How Dual-Pixel Images Help Through Multi-Task Learning,
WACV22(82-90)
IEEE DOI
2202
Training, Estimation, Multitasking, Cameras,
Reflection, Light fields, Low-level and Physics-based Vision
BibRef
Lee, J.Y.[Jun-Yong],
Son, H.[Hyeongseok],
Rim, J.[Jaesung],
Cho, S.[Sunghyun],
Lee, S.Y.[Seung-Yong],
Iterative Filter Adaptive Network for Single Image Defocus Deblurring,
CVPR21(2034-2042)
IEEE DOI
2111
Training, Adaptation models, Adaptive systems, Convolution, Shape,
Adaptive filters, Estimation
BibRef
Son, H.[Hyeongseok],
Lee, J.Y.[Jun-Yong],
Cho, S.[Sunghyun],
Lee, S.Y.[Seung-Yong],
Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous
Convolutions,
ICCV21(2622-2630)
IEEE DOI
2203
Deep learning, Shape, Convolution, Aggregates, Kernel,
Computational photography,
BibRef
Abuolaim, A.[Abdullah],
Timofte, R.[Radu],
Brown, M.S.[Michael S.],
Zhang, D.F.[Da-Feng],
Wang, X.B.[Xia-Bing],
Zamir, S.W.[Syed Waqas],
Arora, A.[Aditya],
Khan, S.[Salman],
Hayat, M.[Munawar],
Khan, F.S.[Fahad Shahbaz],
Shao, L.[Ling],
Liu, S.[Shuai],
Lei, L.[Lei],
Feng, C.Y.[Chao-Yu],
Xiong, Z.W.[Zhi-Wei],
Xiao, Z.[Zeyu],
Xu, R.K.[Rui-Kang],
Zhu, Y.[Yunan],
Liu, D.[Dong],
Vo, T.[Tu],
Miao, S.[Si],
Shah, N.A.[Nisarg A.],
Liang, P.W.[Peng-Wei],
Zhong, Z.W.[Zhi-Wei],
Hu, X.Y.[Xing-Yu],
Chen, Y.Q.[Yi-Qun],
Li, C.H.[Cheng-Hua],
Bai, X.Y.[Xiao-Ying],
Zhang, C.[Chi],
Yao, Y.H.[Yi-Heng],
Gang, R.P.[Rui-Peng],
Nathan, S.[Sabari],
Ragavendran, T.[Thangavelu],
Srinija, V.[Venkatakrishnan],
Srivatsav, V.[Venkatakrishnan],
NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images:
Methods and Results,
NTIRE21(578-587)
IEEE DOI
2109
PSNR, Atmospheric measurements,
Signal processing, Particle measurements, Pattern recognition
BibRef
Abuolaim, A.[Abdullah],
Brown, M.S.[Michael S.],
Defocus Deblurring Using Dual-pixel Data,
ECCV20(X:111-126).
Springer DOI
2011
BibRef
Zhang, N.[Ning],
Yan, J.C.[Jun-Chi],
Rethinking the Defocus Blur Detection Problem and a Real-time Deep Dbd
Model,
ECCV20(X:617-632).
Springer DOI
2011
BibRef
Martinello, M.[Manuel],
Favaro, P.[Paolo],
Fragmented aperture imaging for motion and defocus deblurring,
ICIP11(3413-3416).
IEEE DOI
1201
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Blind Image Deblurring .