[1]
|
Jia J Y. Single image motion deblurring using transparency. In: Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, MN, USA: IEEE, 2007. 1−8
|
[2]
|
Joshi N, Szeliski R, Kriegman D J. PSF estimation using sharp edge prediction. In: Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition. Anchorage, AK, USA: IEEE, 2008. 1−8
|
[3]
|
Cho S, Lee S. Fast motion deblurring. ACM Transactions on Graphics, 2009, 28(5): 89-97
|
[4]
|
Xu L, Jia J Y. Two-phase kernel estimation for robust motion deblurring. In: Proceedings of the 11th European Conference on Computer Vision. Heraklion, Crete, Greece: Springer Berlin Heidelberg, 2010. 157−170
|
[5]
|
Chan T, Wong C. Total variation blind deconvolution. IEEE Transactions on Image Processing, 1998, 7(3): 370-375 doi: 10.1109/83.661187
|
[6]
|
Levin A, Weiss Y, Durand F, Freeman W T. Efficient marginal likelihood optimization in blind deconvolution. In: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, USA: IEEE, 2011. 2657−2664
|
[7]
|
Fergus R, Singh B, Hertzmann A, Rowels S T, Freeman W T. Removing camera shake from a single photograph. ACM Transactions on Graphics, 2006, 25(3): 787-794 doi: 10.1145/1141911.1141956
|
[8]
|
Levin A, Weiss Y, Durand F, Freeman W T. Understanding and evaluating blind deconvolution algorithms. In: Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami, FL, USA: IEEE, 2009. 1964−1971
|
[9]
|
Perrone D, Favaro P. Total variation blind deconvolution: The devil is in the details. In: Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, OH, USA: IEEE, 2014. 2909−2916
|
[10]
|
Michaeli T, Irani M. Blind deblurring using internal patch recurrence. In: Proceedings of the 13th European Conference on Computer Vision. Zurich, Switzerland: Springer Cham, 2014. 783−798
|
[11]
|
Zhang H C, Yang J C, Zhang Y N, Nasrabadi N M, Huang T S. Close the loop: Joint blind image restoration and recognition with sparse representation prior. In: Proceedings of the 2011 IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011. 770−777
|
[12]
|
Ren W, Cao X, Pan J, Guo X, Zuo W, Yang M. Image deblurring via enhanced low-rank prior. IEEE Transactions on Image Processing, 2016, 25(7): 3426-3437 doi: 10.1109/TIP.2016.2571062
|
[13]
|
Pan J, Sun D, Pfister H, Yan M. Deblurring images via dark channel prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40(10): 2315-2328 doi: 10.1109/TPAMI.2017.2753804
|
[14]
|
Yan Y Y, Ren W Q, Guo Y F, Wang R, Cao X C. Image deblurring via extreme channels prior. In: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, HI, USA: IEEE, 2017. 6978−6986
|
[15]
|
常振春, 禹晶, 肖创柏, 孙卫东. 基于稀疏表示和结构自相似性的单幅图像盲解卷积算法. 自动化学报, 2017, 43(11): 1908-1919Chang Zhen-Chun, Yu Jing, Xiao Chuang-Bai, Sun Wei-Dong. Single image blind deconvolution using sparse representation and structural self-similarity. Acta Automatica Sinica, 2017, 43(11): 1908-1919
|
[16]
|
Chen L, Fang F M, Wang T T, Zhang G X. Blind image deblurring with local maximum gradient prior. In: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. Long Beach, CA, USA: IEEE, 2019. 1742−1750
|
[17]
|
Pan L Y, Hartley R, Liu M M, Dai Y C. Phase-only image based kernel estimation for single image blind deblurring. In: Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. Long Beach, CA, USA: IEEE, 2019. 6027−6036
|
[18]
|
Kotera J, Sroubek F. Motion estimation and deblurring of fast moving objects. In: Proceedings of the 2018 IEEE International Conference on Image Processing. Athens, Greece: IEEE, 2018. 2860−2864
|
[19]
|
Aharon M, Elad M, Bruckstein A. K-SVD : An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Transactions on Signal Processing, 2006, 54(11): 4311-4322 doi: 10.1109/TSP.2006.881199
|
[20]
|
Su S C, Delbracio M, Wang J, Sapiro G, Heidrich W, Wang O. Deep video deblurring for hand-held cameras. In: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, HI, USA: IEEE, 2017. 237−246
|
[21]
|
Yan R, Shao L. Blind image blur estimation via deep learning. IEEE Transactions on Image Processing, 2016, 25(4): 1910-1921
|
[22]
|
Sun J, Cao W F, Xu Z B, Ponce J. Learning a convolutional neural network for non-uniform motion blur removal. In: Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Boston, MA, USA: IEEE, 2015. 769−777
|
[23]
|
Kupyn O, Budzan V, Mykhailych M, Matas J. DeblurGAN: Blind motion deblurring using conditional adversarial networks. In: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City, UT, USA: IEEE, 2018. 8183−8192
|
[24]
|
林懿伦, 戴星原, 李力, 王晓, 王飞跃. 人工智能研究的新前线: 生成式对抗网络. 自动化学报, 2018, 44(5): 775-792Lin Yi-Lun, Dai Xing-Yuan, Li Li, Wang Xiao, Wang Fei-Yue. The new frontier of AI research: Generative adversarial networks. Acta Automatica Sinica, 2018, 44(5): 775-792
|
[25]
|
潘宗序, 禹晶, 胡少兴, 孙卫东. 基于多尺度结构自相似性的单幅图像超分辨率算法. 自动化学报, 2014, 40(4): 594-603Pan Zong-Xu, Yu Jing, Hu Shao-Xing, Sun Wei-Dong. Single image super resolution based on multi-scale structural self-similarity. Acta Automatica Sinica, 2014, 40(4): 594-603
|
[26]
|
Glasner D, Bagon S, Irani M. Super-resolution from a single image. In: Proceedings of the 2009 IEEE International Conference on Computer Vision. Kyoto, Japan: IEEE, 2009. 349−356
|
[27]
|
Sun L B, Cho S, Wang J, Hays J. Edge-based blur kernel estimation using patch priors. In: Proceedings of the 2013 IEEE International Conference on Computational Photography. Cambridge, MA, USA: IEEE, 2013. 1−8
|
[28]
|
Cai J, Candes E, Shen Z. A singular value thresholding algorithm for matrix completion.SIAM Journal on Optimization, 2010, 20(4): 1956-1982 doi: 10.1137/080738970
|
[29]
|
Lucy L. An iterative technique for the rectification of observed distributions. Astronomical Journal, 1974, 79(6): 745-754
|
[30]
|
Hu Z, Cho S, Wang J, Yang M H. Deblurring low-light images with light streaks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40(10): 2329-2341 doi: 10.1109/TPAMI.2017.2768365
|
[31]
|
Yuan L, Sun J, Quan L, Shum H Y. Progressive inter-scale and intra-scale non-blind image deconvolution. ACM Transactions on Graphics, 2008, 27(3): 74:1-74:10
|
[32]
|
Liu D, Chen X Y, Liu X. An improved Richardson-Lucy algorithm for star image deblurring. In: Proceedings of the 2019 IEEE International Instrumentation and Measurement Technology Conference. Auckland, New Zealand: IEEE, 2019. 1−5
|
[33]
|
Zoran D, Weiss Y. From learning models of natural image patches to whole image restoration. In: Proceedings of the 2011 IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011. 479-486
|
[34]
|
Mosleh A, Elmi Sola Y, Zargari F, Onzon E, Langlois J M P. Explicit ringing removal in image deblurring. IEEE Transactions on Image Processing, 2018, 27(2): 580-593 doi: 10.1109/TIP.2017.2764625
|
[35]
|
Ortega G, Garzon E M, Vazquez F. The biconjugate gradient method on GPUs. Journal of Supercomputing, 2013, 64(1): 49-58 doi: 10.1007/s11227-012-0761-2
|
[36]
|
Dabov K, Foi A, Katkovnik V, Egiazarian K. Image denoising by sparse 3-D transform-domain collaborative filtering. IEEE Transactions on Image Processing, 2007, 16(8): 2080-2095 doi: 10.1109/TIP.2007.901238
|
[37]
|
Kohler R, Hirsch M, Mohler B. Recording and playback of camera shake: Benchmarking blind deconvolution with a real-world database. In: Proceedings of the 12th European Conference on Computer Vision. Florence, Italy: Springer Berlin Heidelberg 2012. 27−40
|