Stochastic channel-adaptive rate control for wireless video transmission
Pattern Recognition Letters - Video computing
Journal of Visual Communication and Image Representation
Performance enhancement of error resilient entropy coding using bitstream of block based SPIHT
ICUCT'06 Proceedings of the 1st international conference on Ubiquitous convergence technology
Performance enhancement of error resilient entropy coding on block based bitstream of SPIHT
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Parallel design for error-resilient entropy coding algorithm on GPU
Journal of Parallel and Distributed Computing
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There has been an outburst of research in image and video compression for transmission over noisy channels. Channel matched source quantizer design has gained prominence. Further, the presence of variable-length codes in compression standards like the JPEG and the MPEG has made the problem more interesting. Error-resilient entropy coding (EREC) has emerged as a new and effective method to combat catastrophic loss in the received signal due to burst and random errors. We propose a new channel-matched adaptive quantizer for JPEG image compression. A slow, frequency-nonselective Rayleigh fading channel model is assumed. The optimal quantizer that matches the human visibility threshold and the channel bit-error rate is derived. Further, a new fast error-resilient entropy code (FEREC) that exploits the statistics of the JPEG compressed data is proposed. The proposed FEREC algorithm is shown to be almost twice as fast as EREC in encoding the data, and hence the error resilience capability is also observed to be significantly better. On average, a 5% decrease in the number of significantly corrupted received image blocks is observed with FEREC. Up to a 2-dB improvement in the peak signal-to-noise ratio of the received image is also achieved