Part of the book series:Communications in Computer and Information Science ((CCIS,volume 331))
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Abstract
Compressive sensing is a new technology, which combines data sampling with compressing. Many applications of compressive sensing in image processing and computer vision are being explored. In this paper, we propose a compressive sensing image coding scheme with weighting measuring matrix based on just noticeable distortion, where image coefficients have been adaptively weighted according to their different visual significances. Simulation results demonstrate that the proposed method can greatly improve the quality of the reconstructed image compared with the existing algorithm.
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Authors and Affiliations
Key Lab. of Advanced Display and System Application, Ministry of Education, Shanghai University, Shanghai, 200072, China
Yongfang Wang & Zhaoyang Zhang
School of Communication and Information Engineering, Shanghai University, Shanghai, 200072, China
Yundong Song, Yongfang Wang, Xiwu Shang & Zhaoyang Zhang
- Yundong Song
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- Yongfang Wang
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- Xiwu Shang
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- Zhaoyang Zhang
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Editor information
Editors and Affiliations
Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, Shanghai, P. R. China
Wenjun Zhang & Xiaokang Yang &
School of Communication and Information Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, P. R. China
Zhixiang Xu & Ping An &
School of Computer Science, Fudan University, 220 Handan Road, 200433, Shanghai, P. R. China
Qizhen Liu
Department of Computer Science and Technology, East China Normal University, 500 Dongchuan Road, 200241, Shanghai, P. R. China
Yue Lu
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© 2012 Springer-Verlag Berlin Heidelberg
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Song, Y., Wang, Y., Shang, X., Zhang, Z. (2012). Compressive Sensing Image Coding with Perceptual Weighting Measuring Matrix. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_37
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Online ISBN:978-3-642-34595-1
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