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ASME Press Select Proceedings

International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)

Editor
V. E. Muhin
V. E. Muhin
National Technical University of Ukraine
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W. B. Hu
W. B. Hu
Wuhan University
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ISBN:
9780791859742
No. of Pages:
656
Publisher:
ASME Press
Publication date:
2011

This paper presents a new CFSOM (classified frequency sensitive self-organization mapping) algorithm based on self-organization mapping (SOM) and its improved algorithm that is frequency sensitive self-organization mapping (FSOM) algorithm. The CFSOM algorithm can consider the edge feature and high-frequency detail of the tested image. Experiment results shows that the peak signal-to-noise ratio (PSNR) of the reconstructed image using CFSOM algorithm is higher than that using SOM and FSOM algorithm, that is the reconstructed image quality with CFSOM algorithm has better than that with SOM and FSOM algorithm.

Abstract
Keywords
Introduction
Som Algorithm
Fsom Algorithm
Cfsom Alogorithm
Experiment Result
Conclusion
References
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