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Proceedings Paper

A new robust multiple description coding method for image based on block compressed sensing
Author(s): Zhen Liu; Yue-Sheng Zhu; Yi Fan; Han-chi Lin
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Paper Abstract

In this paper, a new robust multiple description image coding method with a modified interleaving sampling and a modified interpolation method using block compressed sensing is proposed. In the encoding process, the original image is decomposed into several sub-images by using the modified interleaving sampling and the redundant bits are added to enhance the reconstruction accuracy. For each sub-image the description is obtained in the block compressed sensing (BCS). In the decoding process, the signal is reconstructed from the sparse measurements by using the optimization algorithm. Our analysis and simulation results showed that the proposed method is a balanced multiple description coding scheme with higher accuracy of reconstruction and higher efficiency of coding.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100332Y (29 August 2016); doi: 10.1117/12.2245143
Show Author Affiliations
Zhen Liu, Peking Univ. (China)
Yue-Sheng Zhu, Peking Univ. (China)
Yi Fan, Peking Univ. (China)
Han-chi Lin, Peking Univ. (China)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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