Joint source-channel coding of GGD sources with allpass filtering source reshaping

Cai, Jianfei; Chen, Chang Wen

doi:10.1016/j.jvcir.2004.01.003

Cited by 3 publications

(1 citation statement)

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“…Several classes of JSCC techniques have been developed to improve the transmission of compressed image data [2]. In [3][4][5], a class JSCC scheme was used to jointly select source coding and transportation parameters, while still keeping the independence between source coding and transportation modules.…”

Section: Introductionmentioning

confidence: 99%

Robust JPEG image transmission using unequal error protection and code combining

Fowdur

Soyjaudah

2007

Int J Communication

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SUMMARYJPEG image transmission over noisy channels is highly problematic due to the sensitivity of the JPEG bit stream to error propagation. The use of resynchronization markers and channel coding do not alleviate the problem completely thus making retransmissions inevitable. In packetized image transmission, image packets are repeated n times, to ensure reliable transmission. This paper proposes a new unequal error protection (UEP) scheme which jointly optimizes the allocation of channel code rates and number of repeats to image packets, subject to a constraint on the maximum overall transmission rate. The coding scheme used is the rate compatible punctured convolutional code coupled with the code-combining technique. An unequal allocation of headers to the image packets is also performed in order to reduce the overall distortion due to error propagation. Simulation results show that the proposed UEP scheme provides a gain of more than 8 dB in peak-to-peak signal-to-noise ratio over a tandem scheme. The flexibility of the proposed scheme, and the major performance gains obtained, make the scheme appealing for applications like, web-based image browsing, multi-hop networks, and wireless image transmission.

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Section: Introductionmentioning

confidence: 99%