Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96173
Title: Robust image coding based upon compressive sensing
Authors: Deng, Chenwei
Lin, Weisi
Lee, Bu-Sung
Lau, Chiew Tong
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2011
Source: Deng, C., Lin, W., Lee, B.-S., & Lau, C. T. (2012). Robust image coding based upon compressive sensing. IEEE transactions on multimedia, 14(2), 278-290.
Series/Report no.: IEEE transactions on multimedia
Abstract: Multiple description coding (MDC) is one of the widely used mechanisms to combat packet-loss in non-feedback systems. However, the number of descriptions in the existing MDC schemes is very small (typically 2). With the number of descriptions increasing, the coding complexity increases drastically and many decoders would be required. In this paper, the compressive sensing (CS) principles are studied and an alternative coding paradigm with a number of descriptions is proposed based upon CS for high packet loss transmission. Two-dimentional discrete wavelet transform (DWT) is applied for sparse representation. Unlike the typical wavelet coders (e.g., JPEG 2000), DWT coefficients here are not directly encoded, but re-sampled towards equal importance of information instead. At the decoder side, by fully exploiting the intra-scale and inter-scale correlation of multiscale DWT, two different CS recovery algorithms are developed for the low-frequency subband and high-frequency subbands, respectively. The recovery quality only depends on the number of received CS measurements (not on which of the measurements that are received). Experimental results show that the proposed CS-based codec is much more robust against lossy channels, while achieving higher rate-distortion (R-D) performance compared with conventional wavelet-based MDC methods and relevant existing CS-based coding schemes.
URI: https://hdl.handle.net/10356/96173
http://hdl.handle.net/10220/11476
ISSN: 1520-9210
DOI: 10.1109/TMM.2011.2181491
Rights: © 2011 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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