Computer Science ›› 2019, Vol. 46 ›› Issue (3): 119-124.doi: 10.11896/j.issn.1002-137X.2019.03.017
• ChinaMM2018 • Previous Articles Next Articles
JIANG Zhi-ying, LIU Ri-sheng
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[1]GU S H,MENG D Y,ZUO W M,et al.Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation[C]∥Proceedings of the IEEE International Conference on Computer Vision.Venice,Italy,2017:1717-1725. [2]LIANG Z T,XU J,ZHANG D,et al.A Hybrid l1l0 Layer Decomposition Model for Tone Mapping[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Salt Lake City,USA,2018. [3]KANG L W,LIN C W,FU Y H.Automatic single-image-based rain streaks removal via image decomposition[J].IEEE Transactions on Image Processing,2012,21(4):1742-1755. [4]HUANG D A,KANG L W,YANG M C,et al.Context-Aware Single Image Rain Removal[C]∥Proceedings of the IEEE International Conference on Multimedia and Expo.Melbourne,Australia,2012:164-169. [5]LUO Y,XU Y,JI H.Removing rain from a single image via discriminative sparse coding[C]∥Proceedings of the IEEE International Conference on Computer Vision.Santiago,Chile,2015:3397-3405. [6]LI Y,TAN R T,GUO X J,et al.Rain streak removal using layer priors[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas,USA,2016:2736-2744. [7]FU X Y,HUANG J B,DING X H,et al.Clearing the Skies:A deep network architecture for single-image rain removal[J].IEEE Transactions on Image Processing,2017,26(6):2944-2956. [8]FU X Y,HUANG J B,ZENG D L,et al.Removing Rain from Single Images via a Deep Detail Network[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,Hawaii,2017:3855-3863. [9]YANG W H,TAN R T,FENG J S,et al.DeepJoint Rain Detection and Removal from a Single Image[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,Hawaii,2017:1357-1366. [10]LI Y,BROWN M S.Single Image Layer Separation Using Relative Smoothness[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Columbus,USA,2014:2752-2759. [11]SHIH Y C,KRISHNAN D,DURAND F,et al.Reflection re- moval using ghosting cues[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Boston,USA,2015:3193-3201. [12]SPRINGER O,WEISS Y.Reflection separation using guided annotation[C]∥Proceedings of the IEEE International Conference on Image Processing.Beijing,China,2017:1192-1196. [13]ZHANG K,ZUO W M,GU S H,et al.Learning deep CNN denoiser prior for image restoration[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,Hawaii,2017. [14]BOYD S,PARIKH N,CHU E,et al.Distributed optimization and statistical learning via the alternating direction method of multipliers[J].Foundations and Trends in Machine Learning,2011,3(1):1-122. [15]ZHU C,BYRD R H,LU P,et al.Algorithm 778:L-BFGS-B:Fortran subroutines for large-scale bound-constrained optimization[J].ACM Transactions on Mathematical Software,1997,23(4):550-560. [16]MARTIN D,FOWLKES C,TAL D,et al.A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics[C]∥Proceedings of the IEEE International Conference on Computer Vision.Vancouver,Canada,2001:416-423. [17]GARG K,NAYAR S K.Photorealistic rendering of rain streaks[J].ACM Transactions on Graphics,2006,25(3):996-1002. [18]LI Y,BROWN M S.Exploiting reflection change for automatic reflection removal[C]∥Proceedings of the IEEE International Conference on Computer Vision.Sydney,Australia,2013:2432-2439. |
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