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Joint source-channel decoding scheme for image transmission
Xie Xudong ; Pei Yukui ; Lu Jianhua
2010-10-12 ; 2010-10-12
关键词Practical/ arithmetic codes combined source-channel coding data compression image coding image reconstruction iterative decoding parity check codes sequential decoding/ joint source-channel decoding scheme remote sensing image transmissions error resilient arithmetic codes low density parity check codes image compression sequential decoding iterative decoding belief propagation algorithm peak signal-to-noise ratio image reconstruction/ B6135C Image and video coding C5260B Computer vision and image processing techniques
中文摘要An efficient joint source-channel coding (JSCC) scheme was developed to improve the reliability of remote sensing image transmissions. The scheme combines error resilient arithmetic codes (ERAC) and low-density parity-check (LDPC) codes for remote sensing image compression. The initial decoding results from the LDPC decoder are sent to the ERAC decoder for an efficiently sequential decoding. Then, the corrected information provided by the ERAC decoder is sent back to the LDPC decoder for iterative decoding until the belief propagation (BP) algorithm converges or the ERAC stack is empty, in which case, the decoding fails. Test results show that the approach more effectively reduces the effect of noise than the separated decoding technique, with more than 15 dB increase in the peak signal-to-noise ratio (PSNR) of the reconstructed image.
语种中文
出版者Tsinghua University Press ; China
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/82707]  
专题清华大学
推荐引用方式
GB/T 7714
Xie Xudong,Pei Yukui,Lu Jianhua. Joint source-channel decoding scheme for image transmission[J],2010, 2010.
APA Xie Xudong,Pei Yukui,&Lu Jianhua.(2010).Joint source-channel decoding scheme for image transmission..
MLA Xie Xudong,et al."Joint source-channel decoding scheme for image transmission".(2010).
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