CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking
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Wen Gao | Jian Zhang | Ruiqin Xiong | Siwei Ma | Chen Zhao | Yongbing Zhang | W. Gao | Jian Zhang | Yongbing Zhang | Ruiqin Xiong | Chen Zhao | Siwei Ma | Siwei Ma
[1] Jong Beom Ra,et al. Post-Processing for Blocking Artifact Reduction Based on Inter-Block Correlation , 2014, IEEE Transactions on Multimedia.
[2] Shu-Jhen Fan-Jiang,et al. Self-learning-based post-processing for image/video deblocking via sparse representation , 2014, J. Vis. Commun. Image Represent..
[3] Robert L. Stevenson,et al. Improved image decompression for reduced transform coding artifacts , 1994, Electronic Imaging.
[4] Michael K. Ng,et al. Reducing Artifacts in JPEG Decompression Via a Learned Dictionary , 2014, IEEE Transactions on Signal Processing.
[5] Xianming Liu,et al. Sparsity-based soft decoding of compressed images in transform domain , 2013, 2013 IEEE International Conference on Image Processing.
[6] Debin Zhao,et al. High-quality image restoration from partial random samples in spatial domain , 2011, 2011 Visual Communications and Image Processing (VCIP).
[7] Eduardo A. B. da Silva,et al. A generic post-deblocking filter for block based image compression algorithms , 2012, Signal Process. Image Commun..
[8] Weisi Lin,et al. Efficient Image Deblocking Based on Postfiltering in Shifted Windows , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[9] Wen Gao,et al. Image deblocking using group-based sparse representation and quantization constraint prior , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[10] Wen Gao,et al. Image denoising via adaptive soft-thresholding based on non-local samples , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Karen O. Egiazarian,et al. Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images , 2007, IEEE Transactions on Image Processing.
[12] C.-C. Jay Kuo,et al. Review of Postprocessing Techniques for Compression Artifact Removal , 1998, J. Vis. Commun. Image Represent..
[13] Jongho Kim. Adaptive blocking artifact reduction using wavelet-based block analysis , 2009, IEEE Transactions on Consumer Electronics.
[14] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[15] Robert L. Stevenson,et al. DCT quantization noise in compressed images , 2001, IEEE Transactions on Circuits and Systems for Video Technology.
[16] Jun Zhou,et al. Adaptive non-local means filtering for image deblocking , 2011, 2011 4th International Congress on Image and Signal Processing.
[17] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[18] Giovanni Maria Farinella,et al. On the Application of Structured Sparse Model Selection to JPEG Compressed Images , 2011, CCIW.
[19] Avideh Zakhor. Iterative procedures for reduction of blocking effects in transform image coding , 1992, IEEE Trans. Circuits Syst. Video Technol..
[20] Licheng Jiao,et al. Image deblocking via sparse representation , 2012, Signal Process. Image Commun..
[21] Kristian Bredies,et al. A Total Variation-Based JPEG Decompression Model , 2012, SIAM J. Imaging Sci..
[22] Weisi Lin,et al. Efficient Deblocking With Coefficient Regularization, Shape-Adaptive Filtering, and Quantization Constraint , 2008, IEEE Transactions on Multimedia.
[23] Wen Gao,et al. Group-Based Sparse Representation for Image Restoration , 2014, IEEE Transactions on Image Processing.
[24] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[25] King Ngi Ngan,et al. Reduction of blocking artifacts in image and video coding , 1999, IEEE Trans. Circuits Syst. Video Technol..
[26] Lei Zhang,et al. Weighted Nuclear Norm Minimization with Application to Image Denoising , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Wen Gao,et al. Reducing Blocking Artifacts in Compressed Images via Transform-Domain Non-local Coefficients Estimation , 2012, 2012 IEEE International Conference on Multimedia and Expo.
[28] Seop Hyeong Park,et al. Theory of projection onto the narrow quantization constraint set and its application , 1999, IEEE Trans. Image Process..
[29] Ajay Luthra,et al. Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..
[30] Gregory K. Wallace,et al. The JPEG still picture compression standard , 1991, CACM.
[31] Wai-kuen Cham,et al. Image postprocessing by Non-local Kuan's filter , 2011, J. Vis. Commun. Image Represent..
[32] Nikolas P. Galatsanos,et al. Removal of compression artifacts using projections onto convex sets and line process modeling , 1997, IEEE Trans. Image Process..
[33] Gary J. Sullivan,et al. Overview of the High Efficiency Video Coding (HEVC) Standard , 2012, IEEE Transactions on Circuits and Systems for Video Technology.
[34] Nikolas P. Galatsanos,et al. Projection-based spatially adaptive reconstruction of block-transform compressed images , 1995, IEEE Trans. Image Process..
[35] Shuicheng Yan,et al. Generalized Nonconvex Nonsmooth Low-Rank Minimization , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Jian Zhang,et al. Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain , 2014, IEEE Transactions on Circuits and Systems for Video Technology.
[37] Jie Ren,et al. Image Blocking Artifacts Reduction via Patch Clustering and Low-Rank Minimization , 2013, 2013 Data Compression Conference.
[38] Jie Ren,et al. Patch-based image deblocking using geodesic distance weighted low-rank approximation , 2014, 2014 IEEE Visual Communications and Image Processing Conference.
[39] Wen Gao,et al. Compression Artifact Reduction by Overlapped-Block Transform Coefficient Estimation With Block Similarity , 2013, IEEE Transactions on Image Processing.
[40] Changhoon Yim,et al. Quality Assessment of Deblocked Images , 2011, IEEE Transactions on Image Processing.
[41] Deqing Sun,et al. Postprocessing of Low Bit-Rate Block DCT Coded Images Based on a Fields of Experts Prior , 2007, IEEE Transactions on Image Processing.
[42] Yücel Altunbasak,et al. Super-resolution reconstruction of compressed video using transform-domain statistics , 2004, IEEE Transactions on Image Processing.
[43] Kung-Sik Chan,et al. Reduced rank regression via adaptive nuclear norm penalization. , 2012, Biometrika.
[44] Wen Gao,et al. Image Compressive Sensing Recovery via Collaborative Sparsity , 2012, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
[45] Zuowei Shen,et al. Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation , 2011, SIAM J. Imaging Sci..
[46] Guangming Shi,et al. Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach , 2013, IEEE Transactions on Image Processing.
[47] Jian Zhang,et al. Exploiting Image Local and Nonlocal Consistency for Mixed Gaussian-Impulse Noise Removal , 2012, 2012 IEEE International Conference on Multimedia and Expo.
[48] Yi Ma,et al. Robust principal component analysis? , 2009, JACM.