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Proceedings Paper

An image compression method based on wavelet transform and fuzzy SOFM algorithm
Author(s): Xiaohong Yu; Yinxiao Ma
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Paper Abstract

A fast and effective image compression method based on wavelet transform and neural network algorithm is proposed in this paper. Firstly, the image is decomposed by wavelet base and the input vector of neural network is formed. Secondly, we use fuzzy learning rule to train the SOFM network, obtain the codebook. This method can efficiently remove correlation in image date, obtaining a low transmission bit stream. The apparent advantage of the methods is to establish statistics codebooks for various image data and it can achieve a high coding efficiency because each treating need not generate codebook. Experiments illustrate that this algorithm is an effective encoding scheme to compress images and the compress ratio excels that of JPEG.

Paper Details

Date Published: 3 November 2005
PDF: 8 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441Y (3 November 2005); doi: 10.1117/12.655268
Show Author Affiliations
Xiaohong Yu, Zhejiang Gongshang Univ. (China)
Yinxiao Ma, Zhejiang Gongshang Univ. (China)

Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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