[1] Donoho D.Compressed sensing [J].IEEE Trans on Information Theory,2006,52(4):1289-1306. [2] Candes E.Compressive sampling. Proceedings of International Congress of Mathematics. Madrid:European Mathematical Society Publishing House,2006.1433-1452. [3] Prades-Nebota J,Mab Y,Huang T.Distributed video coding using compressive sampling. Proceedings of 27th conference on Picture Coding Symposium. Piscataway:IEEE Computer Society Press,2009.1-4. [4] H W Chen,L W Kang,C S Lu.Dictionary learning-based distributed compressive video sensing. Proceedings of 28th Picture Coding Symposium. Nagoya:IEEE Computer Society Press,2010.210-213. [5] Do T T,Chen Y,Nguyen D T,et al.Distributed compressed video sensing. Proceedings of International Conference on Image Processing (ICIP). Cairo:IEEE Computer Society Press,2009.1393-1396. [6] Mun S,Fowler J E.Residual reconstruction for block-based compressed sensing of video. Proceedings of Data Compression Conference. Snow Bird:IEEE Computer Society Press,2011.183-192. [7] Tramel E W,Fowler J E.Video compressed sensing with multihypothesis. Proceedings of Data Compression Conference. Washington,DC,USA:IEEE Computer Society 2011.193-202. [8] Wu X L,Zhang X J,Wang J.Model-guided adaptive recovery of compressive sensing. Proceedings of Data Compression Conference. Washington,DC,USA:IEEE Computer Society Press,2009.123-132. [9] Dong W S,Zhang L,Shi G M,et al.Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization. http://arxiv.org/abs/1012.1184 [10] Figueiredo M,Nowak R,Wright S.Gradient projection for sparse reconstruction:application to compressed sensing and other inverse problems [J].IEEE Journal of Selected Topics in Signal Processing:Special Issue on Convex Optimization Methods for Signal Processing,2007,1(4):586-598. [11] Daubechies I,Defrise M,Mol C.An iterative thresholding algorithm for linear inverse problems with a sparsity constraint [J].Comm Pure Appl Math,2004,57(11):1413-1457. [12] Wright S,Nowak R,Figueiredo M.Sparse reconstruction by separable approximation. Proceedings of IEEE International Conference on Acoustics,Speech and Signal Processing. Las Vegas:IEEE Computer Society Press,2008.3373-3376. [13] Gan L,Do T T,Tran T D.Fast compressive imaging using scrambled block hadamard ensemble. Proceedings of European Signal Processing Conference. Lausanne:European Association for Signal Processing,2008.1-5. [14] Becker S,Bobin J,Candes E.NESTA:A fast and accurate first-order method for sparse recovery [J].SIAM Journal on Imaging Science,2009,4(1):1-39. [15] Mun S,Fowler J E.Block compressed sensing of images using directional transforms. Proceedings of International Conference on Image Processing (ICIP). Cairo:IEEE Computer Society Press,2009.3021-3024. |