Scalable and channel-adaptive unequal error protection of images with LDPC codes

Authors:
Adrian Munteanu;Maryse R. Stoufs;Jan Cornelis;Peter Schelkens
Affiliations:
Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussel, Belgium;Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussel, Belgium;Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussel, Belgium;Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussel, Belgium
Venue:
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Year:
2006

Citing 9
Cited 0

LT Codes

FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
Good Codes Based on Very Sparse Matrices

Proceedings of the 5th IMA Conference on Cryptography and Coding
Error Control Coding, Second Edition

Error Control Coding, Second Edition
Wavelet image compression - the quadtree coding approach

IEEE Transactions on Information Technology in Biomedicine
Priority encoding transmission

IEEE Transactions on Information Theory - Part 1
Regular and irregular progressive edge-growth tanner graphs

IEEE Transactions on Information Theory
Joint source/channel coding for image transmission with JPEG2000 over memoryless channels

IEEE Transactions on Image Processing
Fast algorithm for distortion-based error protection of embedded image codes

IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

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.