An image compression method based on wavelet transform and fuzzy SOFM algorithm

Xiaohong Yu; Yinxiao Ma

doi:10.1117/12.655268

3 November 2005 An image compression method based on wavelet transform and fuzzy SOFM algorithm

Xiaohong Yu, Yinxiao Ma

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60441Y (2005) https://doi.org/10.1117/12.655268
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

Xiaohong Yu and Yinxiao Ma "An image compression method based on wavelet transform and fuzzy SOFM algorithm", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441Y (3 November 2005); https://doi.org/10.1117/12.655268

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