A simple and efficient hierarchical image coder
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Rate-adaptive codes for distributed source coding
Signal Processing - Special section: Distributed source coding
Efficient wavelet-based predictive Slepian-Wolf coding for hyperspectral imagery
Signal Processing - Special section: Distributed source coding
SBHP-a low complexity wavelet coder
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Set Partition Coding: Part I of Set Partition Coding and Image Wavelet Coding Systems
Foundations and Trends in Signal Processing
Image Wavelet Coding Systems: Part II of Set Partition Coding and Image Wavelet Coding Systems
Foundations and Trends in Signal Processing
Wavelet-Domain Distributed Video Coding Using Optimized TCQ
ICICIC '09 Proceedings of the 2009 Fourth International Conference on Innovative Computing, Information and Control
Improved side information generation and virtual channel modeling for distributed video coding
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Digital Signal Compression: Principles and Practice
Digital Signal Compression: Principles and Practice
Noiseless coding of correlated information sources
IEEE Transactions on Information Theory
Recent results in the Shannon theory
IEEE Transactions on Information Theory
Image coding using wavelet transform
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
Efficient, low-complexity image coding with a set-partitioning embedded block coder
IEEE Transactions on Circuits and Systems for Video Technology
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A distributed video coding (DVC) system based on wavelet transform and set partition coding (SPC) is presented in this paper. Conventionally the significance map (sig-map) of SPC is not conducive to Slepian-Wolf (SW) coding, because of the difficulty of generating a side information sig-map and the sensitivity to decoding errors. The proposed DVC system utilizes a higher structured significance map, named progressive significance map (prog-sig-map), which structures the significance information into two parts: a high-level summation significance map (sum-sig-map) and a low-level complementary significance map (comp-sig-map). This prog-sig-map alleviates the above difficulties and thus makes part of the prog-sig-map (specifically, the fixed-length-coded comp-sig-map) suitable for SW coding. Simulation results are provided showing the improved rate-distortion performance of the DVC system even with a simple system configuration.