一种图像压缩无损编码中的小波系数优化算法

A Kind of Image Compression Coding of the Wavelet Coefficient Optimization Algorithm

主要研究了数字图像压缩技术。针对传统的小波视频图像压缩技术由于小波系数特点及按照频率特性量化小波系数的不足,造成压缩图像严重受损的问题,本文提出改进思路,即利用支持向量机来拟合小波。首先通过小波变换,提取出图像子层中的小波系统,接着再通过SWZ进行编码;并采用SVM对小波系数进行拟合,最后对压缩后系统进行算术编码。实验结果表明,相对于传统小波变换图像压缩算法,提出的压缩算法提高了图像压缩后的质量。

mainly studies the digital image compression technology.In view of the traditional wavelet video compression technology because of the characteristics of wavelet coefficients and frequency characteristics of wavelet coefficient according to the quantification of insufficient,causing compression of image badly damaged.In view of the above problems,this paper puts forward improvement ideas,namely the use of support vector machine to fit the wavelet.The first image wavelet transform,wavelet extraction sub layer system,then the transformed wavelet coefficient code with SWZ;and the use of SVM of wavelet coefficient fitting,at the end of the compression system for arithmetic coding.The experimental results show that,compared with the traditional wavelet transform image compression algorithms,proposed compression algorithm can improve the image compression quality.