小波分析具有很强的数学背景，因此学好和应用好小波有一定的难度。本文研究的则是小波变换在数字图像处理中的应用，文中介绍了数字图像处理的基本概念和小波变换的基本理论及其在图像处理中的应用技术—Mallat算法，并应用Mallat算法来实现图像小波变换，以及对小波变换后的图像进行嵌入式小波零树系数编码的理论研究。本文在最后对应用Visual C++编程实现其变换进行分析和总结。-The main topic article discuss is wavelet transform the application of image processing. In the article introduces the basic conception of data image processing and the basic theory of wavelet transform. Based on the image wavelet transform theory, the realize of the image wavelet transform technology——analysis on Mallat algorithm, and basis on Mallat algorithm that use the software of VC++ realize of the image wavelet transform. Mallat algorithm is using the wavelet coefficients and the filter of signal processing, so it greatly simplified the computing of wavelet coefficients algorithm. EZW code is the structure which is a simple and effective image coding algorithm with which an encoder can terminate the encoding at any point thereby allowing a target rate or distortion metric to be met exactly.