Computer Science ›› 2020, Vol. 47 ›› Issue (2): 106-111.doi: 10.11896/jsjkx.190100228
• Computer Graphics & Multimedia • Previous Articles Next Articles
FU Xue-yang,SUN Qi,HUANG Yue,DING Xing-hao
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[1]KANG L W,LIN C W,FU Y H.Automatic Single-Image-Based Rain StreaksRemoval via Image Decomposition[J].IEEE Tran-sactions on Image Processing,2011,21(4):1742-1755. [2]HUANG D A,KANG L W,WANG Y C F,et al.Self-Learning BasedImage Decomposition with Applications to Single Image Denoising[J].IEEE Transactionsons on Multimedia,2014,16(1):83-93. [3]CHEN Y L,HSU C T.A Generalized Low-Rank Appearance Model for Spatio-Temporally Correlated Rain Streaks[C]∥Processings of the the 2013 IEEE International Conference on Computer Vision.Sydney,Washington:IEEE,2013:1968-1975. [4]WANG Y L,LIU S C,CHEN C,et al.A Hierarchical Approach for Rainor Snow Removing in a Single Color Image[J].IEEE Transactions on Image Processing,2017,26(8):3936-3950. [5]LUO Y,XU Y,JI H.Removing Rain from a Single Image via Discriminative Sparse Coding[C]∥2015 IEEE International Conference on Computer Vision.Chile:Santiago,2015:3397-3405. [6]LI Y,TAN R T,GUO X J,et al.Rain Streak Removal Using Layer Priors[C]∥2016IEEE Conference on Computer Vision and Pattern Recognition(CPVR).Las Vegas,USA,2016:2736-2744. [7]ZHU L,FU C,LISCHINSKI D,et al.Joint Bi-layer Optimization for Single-image Rain Streak Removal[C]∥The IEEE International Conference on Computer Vision.Venice,Italy,2017:2545-2553. [8]CHANG Y,YAN L,ZHONG S.Transformed Low-Rank Model for Line Pattern NoiseRemoval[C]∥2017 IEEE International Conference on Computer Vision.Venice,Italy,2017:1735-1743. [9]GU S H,MENG D Y,ZUO W M,et al.Joint Convolutional Analysis andSynthesis Sparse Representation for Single Image Layer Separation[C]∥2017 IEEE InternationalConference on Computer Vision.Venice,Italy,2017:1717-1725. [10]KRIZHEVSKY A,SUTSKEVER I,HINTON G.ImageNet classification with deep convolutional neural networks[C]∥Proceedings of the 25th International Conference on Neural Information Processing Systems.Lake Tahoe,Nevada,2012:1097-1105. [11]EIGEN D,KRISHNAN D,FERGUS R.Restoring an Image Taken through a Window Covered with Dirt or Rain[C]∥Proceedings of the 2013 IEEE International Conference on Computer Vision.Washington,USA,2013:633-640. [12]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. [13]FU X Y,HUANG J B,ZENG D L,et al.Removing rain from single images via a deep detail network[C]∥ IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,USA,2017:3855-3863. [14]YANG W H,TAN R T,FENG J S,et al.Deep Joint Rain Detection and Removal from a Single Image[C]∥2017 IEEE Conference on ComputerVision and Pattern Recognition.Honolulu,USA,2017:1685-1694. [15]PAN J S,LIU S F,ZHANG J W,et al.Learning Dual Convolutional Neural Networksfor Low-Level Vision[C]∥IEEE Conference on Computer Vision and Pattern Recognition.Salt Lake City,USA,2018:1-10. [16]ZHANG H,PATEL V M.Density-Aware Single Image De-raining using a Multi-stream Dense Network[C]∥IEEE Confe-rence on Computer Vision and Pattern Recognition.Salt Lake City,USA,2018:1-10. [17]YU F,KOLTUN V,FUNKHOUSER T.Dilated residual net-works[C]∥IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,USA,2017:636-644. [18]HE K M,ZHANG X Y,REN S Q,et al.Deep residual learning for image recognition[C]∥IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas,United States,2016:770-778. [19]HUANG G,LIU Z,MAATEN L,et al.Densely connected convolutional networks[C]∥IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,USA,2017:4700-4708. [20]KINGMA D,BA J.Adam:A Method for Stochastic Optimization [C]∥International Conference on Learning Representations.San Diego,USA,2015:1-15. [21]WANG Z,BOVIK A C,SHEIKH H R,et al.Image Quality Assessment:from Error Visibility to Structural Similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612. [22]GONZALEZ R C,WOODS R E.Digital Image Processing[M].Upper Saddle River:Prentice Hall,2012. |
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