This paper presents a new method for color image compression coding by using correlation of color components combined with wavelet transform. In this method, one of the three color components of a color image is coded using wavelet transform zerotree coding, and the component is segmented into several non-overlapping subregions in the same size. and the chromatism matrixs are figured out by the margin between the component and the other two components in each subregions, and then the correlation coefficients is ciphered out suing chromatism matrix analysis. Based on the calculated correlation coefficients, the coding for the other two components becomes the coding of correlation coefficients. During decoding, the component is first reconstructed using inverse quantization and wavelet inverse transform. Then according to this component and the reconstructed correlation coefficients, the other two components are calculated out. Finally the color image is reconstructed by the three color components. Experiment results show that this method is of high coding and decoding rates, and with quite good signal to noise ratio, compression rate and visual quality.%为了提高彩色图象编码速度，提出了一种利用色彩分量相关性，结合小波变换来对彩色图象进行压缩编码的新方法.该方法是将彩色图象3个色彩分量之一首先进行小波变换零树编码，并将该色彩分量分割成若干个大小相等，但不重叠的子块，然后再计算出该色彩分量在每个子块中与另两个色彩分量在同一子块中的相关系数，这样对另两个色彩分量的压缩编码就转变成对相关系数的编码.解码则是通过反量化和小波逆变换，以得到一个重构的色彩分量，再由这个色彩分量和重构的相关系数，解出另两个色彩分量，最后由这3个色彩分量来恢复图象.实验结果表明，该方法不仅编（解）码速度快，而且有较好的信噪比、压缩比及视觉效果.
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