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一种基于小波变换的图像压缩方法
引用本文:陈善学. 一种基于小波变换的图像压缩方法[J]. 重庆邮电学院学报(自然科学版), 2001, 13(3): 46-48
作者姓名:陈善学
作者单位:重庆邮电学院 重庆400065
摘    要:提出了一种基于小波变换的灰度图像数据压缩方法,采用双正交小波对像进行分解,作分解后系数的矢量量化。使用频率敏感自组织特征映射算法生成码书。这可避免直接矢量量化时的块效应,且相对于正交小波,恢复图像的质量也有所提高。

关 键 词:小波变换 矢量量化 图像压缩

An Image Compression Scheme Based on Wavelet Transform
CHEN Shan-xue. An Image Compression Scheme Based on Wavelet Transform[J]. Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition), 2001, 13(3): 46-48
Authors:CHEN Shan-xue
Abstract:Based on wavelet transform and vector quantization. a scheme for image data compression is presented. Firstly. the image is decomposed by the biorthogonal wavelet filters, and then the wavelet coefficient is encoded by vector quantization. The Frequency Sensitive Self-Organizing Feature Maps (FSOFM) algorithm is used in constructing codebook. A number of computer simulation experimental results show that the blocking' effect can be overcome, and the better reconstructed image can be obtained by the biorthogonal wavelet in comparision with the orthongonal wavelet.
Keywords:wavelet transform  vector quantization  image compression
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