[1] DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4):1289-1306.
[2] CANDES E J, WAKIN M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2):21-30.
[3] ZHANG C, LIU Y, WU Y. On quantile regression in reproducing kernel Hilbert spaces with the data sparsity constraint[J]. The Journal of Machine Learning Research, 2016, 17(1):1374-1418.
[4] BELAGIANNIS V, AMIN S, ANDRILUKA M, et al. 3D pictorial structures for multiple human pose estimation[C]// 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, OH, USA:IEEE, 2014:1669-1676.
[5] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep Convolutional Neural Networks[C]// Proceedings of the 25th International Conference on Neural Information Processing Systems. [S.l.]:ACM, 2017:1097-1105.
[6] SVOBODA P, HRADIS M, BARINA D, et al. Compression artifacts removal using Convolutional Neural Networks[J]. Journal of WSCG, 2016, 24(2):63-72.
[7] DONG C, LOY C C, HE K, et al. Image super-resolution using deep convolutional networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(2):295-307. doi:10.1109/TPAMI.2015.2439281.
[10] KULKARNI K, LOHIT S, TURAGA P, et al. ReconNet:non-iterative reconstruction of images from compressively sensed measurements[C]// 2016 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Las Vegas, NV, US:IEEE, 2016:449-458.
[11] YAO H, DAI F, ZHANG D, et al. DR2-Net:deep residual reconstruction network for image Compressive Sensing[J]. Neurocomputing, 2017(359):483-493.
[13] SHI W, CABALLERO J, HUSZ?R F, et al. Real-time single image and video super-resolution using an efficient sub-pixel Convolutional Neural Network[C]// 2016 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Las Vegas, NV, USA:IEEE, 2016:1874-1883.
[14] METZLER C A, MALEKI A, BARANIUK R G. From denoising to Compressed Sensing[J]. IEEE Transactions on Information Theory, 2016, 62(9):5117-5144. doi:10.1109/TIT.2016.2556683.
[15] DONG W, SHI G, LI X, et al. Compressive Sensing via nonlocal low-rank regularization[J]. IEEE Transactions on Image Processing, 2014, 23(8):3618-3632. doi:10.1109/TIP.2014.2329449.