Abstract | ||
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The existing image compression methods (e.g., JPEG2000, etc.) are vulnerable to bit-loss, and this is usually tackled by channel coding that follows. However, source coding and channel coding have conflicting requirement. In this paper, we address the problem with an alternative paradigm, and a novel compressive sensing (CS) based compression scheme is therefore proposed. Discrete wavelet transform (DWT) is applied for sparse representation, and based on the property of 2-D DWT, a fast CS measurements taking method is presented. Unlike the unequally important discrete wavelet coefficients, the resultant CS measurements carry nearly the same amount of information and have minimal effects for bit-loss. At the decoder side, one can simply reconstruct the image via l1 minimization. Experimental results show that the proposed CS-based image codec without resorting to error protection is more robust compared with existing CS technique and relevant joint source channel coding (JSCC) schemes. |
Year | DOI | Venue |
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2010 | 10.1109/ICME.2010.5583387 | ICME |
Keywords | Field | DocType |
jpeg2000,image coding,jscc schemes,cs-based image codec,image compression methods,codecs,robust image compression,joint source channel coding schemes,2d dwt,compressive sensing,minimization,discrete wavelet transform,joint source channel coding,image reconstruction,cs measurements,source coding,error protection,minimisation,combined source-channel coding,discrete wavelet transforms,discrete wavelet coefficients,packet-loss,sparse representation,channel coding,packet loss,image compression,decoding,psnr,robustness,source code,compressed sensing | Pattern recognition,Computer science,Sparse approximation,Robustness (computer science),Discrete wavelet transform,Artificial intelligence,JPEG 2000,Decoding methods,Image compression,Compressed sensing,Wavelet | Conference |
ISSN | ISBN | Citations |
1945-7871 | 978-1-4244-7491-2 | 12 |
PageRank | References | Authors |
0.77 | 10 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chenwei Deng | 1 | 578 | 30.01 |
Weisi Lin | 2 | 5366 | 280.14 |
Bu-Sung Lee | 3 | 2119 | 140.18 |
Chiew Tong Lau | 4 | 406 | 35.82 |