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Scalable and Channel-Adaptive Unequal Error Protection of Images with LDPC Codes Host Publication: Advanced Concepts for Intelligent Vision Systems Authors: A. Munteanu, M. Stoufs, J. Cornelis and P. Schelkens Publisher: Springer Publication Date: Sep. 2006 Number of Pages: 12 ISBN: 978-3-540-44630-9
Abstract: This paper considers the design of an optimal joint source-channel coding system employing scalable wavelet-based source coders and unequal error protection for error-resilient transmission over binary erasure channels. We theoretically show that the expected average rate-distortion function in the separately encoded subbands is convex with monotonically decreasing slopes and use this fact to propose a new algorithm which minimizes the end-to-end distortion. This algorithm is based on a simplified Viterbi-search followed by Lagrangian-optimization. We show that our proposed solution results in significant complexity reductions while providing very near-to-optimal performance.
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