二维小波变换在图像压缩中的应用研究

A Study on Applications of 2-dimension Wavelet Transform to Image Compressing

通过对二维小波分解与重构算法以及其在工程图像处理应用中的介绍,分析了二维离散小波可分离情况分解与重构的实际算法,研究了算法在图像压缩中的应用方法并分析了应用实例。结果表明,应用该算法可以获得较大的图像压缩比。所以小波技术用于图像处理具有压缩比高、速度快和特征不变性、方便快捷。目标明确等一系列优点。

Introduces the two-dimension wavelet decomposition and construction algorithm and its engineering application in image manipulation. In this paper, the practical arithmetic approach of resolving and re-comprising is analyzed. A study is presented about how to apply the arithmetic to image compressing, and some examples of the application are analyzed. As the results show, larger compressing ratio of image can be obtained by the application of this arithmetic approach. So that image manipulation with wavelet technology has such characteristics as high compression ratio,rapid speed,stable feature,etc.