153 citations to https://www.mathnet.ru/eng/tit3
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K. Ashwini, R. Amutha, “Compressive sensing based simultaneous fusion and compression of multi-focus images using learned dictionary”, Multimed Tools Appl, 77:19 (2018), 25889
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Yanglong Lu, Yan Wang, “Monitoring temperature in additive manufacturing with physics-based compressive sensing”, Journal of Manufacturing Systems, 48 (2018), 60
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Qi Liu, Ying Wang, Jun Wang, Qiong-Hua Wang, “Optical image encryption using chaos-based compressed sensing and phase-shifting interference in fractional wavelet domain”, Opt Rev, 25:1 (2018), 46
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Xiaobo Yang, Anping Liao, Jiaxin Xie, “A remark on joint sparse recovery with OMP algorithm under restricted isometry property”, Applied Mathematics and Computation, 316 (2018), 18
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Juan A. Aguilar, Alan M. Kenwright, “Compressed NMR: Combining compressive sampling and pure shift NMR techniques”, Magnetic Reson in Chemistry, 56:10 (2018), 983
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Amir Masoud Taheri, Homayoun Mahdavi-Nasab, “Sparse representation based facial image compression via multiple dictionaries and separated ROI”, Multimed Tools Appl, 77:23 (2018), 31095
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R. Ponuma, R. Amutha, “Compressive sensing based image compression-encryption using Novel 1D-Chaotic map”, Multimed Tools Appl, 77:15 (2018), 19209
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Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, Zongben Xu, “Greedy Criterion in Orthogonal Greedy Learning”, IEEE Trans. Cybern., 48:3 (2018), 955
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Xu-Dong Chen, Qi Liu, Jun Wang, Qiong-Hua Wang, “Asymmetric encryption of multi-image based on compressed sensing and feature fusion with high quality image reconstruction”, Optics & Laser Technology, 107 (2018), 302
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Sui Liansheng, Cheng Yin, Tian Ailing, Anand Krishna Asundi, “An optical watermarking scheme with two-layer framework based on computational ghost imaging”, Optics and Lasers in Engineering, 107 (2018), 38