Scalable and Channel-Adaptive Unequal Error Protection of Images with LDPC Codes

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.

• Type: Conference
• Year: 2006
• Where: ACIVS
• Authors: Adrian Munteanu, Maryse R. Stoufs, Jan Cornelis, Peter Schelkens
• Keywords: ACIVS 2006, Computer Vision, Expected Average Rate-distortion, Optimal Joint Source-channel, Wavelet-based Source Coders