Perceptual-based compressed video sensing
Author:
Affiliation:
1. Kyushu University
2. School of Electronics, Communications, and Computing, Egypt-Japan University of Science and Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/comex/4/8/4_251/_pdf
Reference12 articles.
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3. [3] J. Fowler, S. Mun, and W. Tramel, “Block-based compressed sensing of images and video,” Found. Trends Signal Process., vol. 4, no. 4, pp. 297–416, 2012. DOI:10.1561/2000000033
4. [4] E. Candes, J. Romberg, and T. Tao, “Stable signal recovery from incomplete and inaccurate measurements,” Commun. Pure Appl. Math., vol. 59, no. 8, pp. 1207–1223, Aug. 2006. DOI:10.1002/cpa.20124
5. [5] H. Mansour and O. Yilmaz, “Adaptive compressed sensing for video acquisition,” Proc. 37th IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Kyoto, Japan, pp. 3465–3468, Mar. 2012. DOI:10.1109/ICASSP.2012.6288662
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Distributed perceptual compressed sensing framework for multiview images;Electronics Letters;2016-05
2. Model-based quantization for perceptually weighted compressed video sensing;IEICE Communications Express;2016
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