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1 October 2011 Dynamic stopping criteria of turbo codes for clustered set partitioning in hierarchical trees encoded image transmission
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Abstract
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.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jiunn-Tsair Fang and Cheng-Shong Wu "Dynamic stopping criteria of turbo codes for clustered set partitioning in hierarchical trees encoded image transmission," Journal of Electronic Imaging 20(4), 043003 (1 October 2011). https://doi.org/10.1117/1.3651512
Published: 1 October 2011
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