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Dynamic stopping criteria of turbo codes for clustered set partitioning in hierarchical trees encoded image transmission

[+] Author Affiliations
Jiunn-Tsair Fang

Ming Chuan University, Department of Electronic Engineering 5 De Ming Road, Gui-Shan Taoyuan, 333, Taiwan

Cheng-Shong Wu

National Chung Cheng University, Department of Electrical Engineering, Taiwan

J. Electron. Imaging. 20(4), 043003 (October 26, 2011). doi:10.1117/1.3651512
History: Received April 23, 2011; Revised August 12, 2011; Accepted September 23, 2011; Published October 26, 2011; Online October 26, 2011
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Turbo codes adopt iterative decoding to increase the ability of error correction. However, the iterative method increases the decoding delay and power consumption. An effective approach is to decrease the number of iterations while tolerating slight performance degradation. We apply the clustered set partitioning in hierarchical trees for image coding. Different from other early stop criteria, we use the bit-error sensitivities from the image data. Then, the stop criterion is directly determined by the importance of image data. Simulation results show that our scheme can reduce more number of iterations with less degradation for peak-signal-to-noise ratio or structure similar performance.

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Citation

Jiunn-Tsair Fang and Cheng-Shong Wu
"Dynamic stopping criteria of turbo codes for clustered set partitioning in hierarchical trees encoded image transmission", J. Electron. Imaging. 20(4), 043003 (October 26, 2011). ; http://dx.doi.org/10.1117/1.3651512


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