Channel optimized robust image coding over noisy channels

Ezzatollah Salari; Xiaodong Li

doi:10.1117/1.2404616

1 December 2006 Channel optimized robust image coding over noisy channels

Ezzatollah Salari, Xiaodong Li

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Optical Engineering, Vol. 45, Issue 12, 127002 (December 2006). https://doi.org/10.1117/1.2404616

Abstract

A wavelet-based robust image coding technique for image transmission over noisy channels is presented here. The system combines classification and optimal bit allocation along with robust quantization to produce an inherent error-resistant bitstream without channel coding. In order to improve coding efficiency, an iterative algorithm is developed for implementing optimal bit allocation involving both rate distortion and channel optimization. Also, a modified channel optimized uniform trellis coded quantization (TCQ) with a low computational complexity, yet an effective performance, is proposed and used to provide robust quantization. The system achieves both efficient image compression and robust image transmission over noisy channels. Computer simulations indicate that the proposed scheme is effective, even under mismatched channel conditions, and the performance is competitive with other robust image compression techniques.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Ezzatollah Salari and Xiaodong Li "Channel optimized robust image coding over noisy channels," Optical Engineering 45(12), 127002 (1 December 2006). https://doi.org/10.1117/1.2404616

Published: 1 December 2006

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KEYWORDS

Image compression

Quantization

Distortion

Wavelets

Binary data

Image transmission

Lithium

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