利用色彩分量相关性的彩色图象压缩编码  

Color Image Compression Coding Using the Correlation of Color Components

作　　者：陈宇拓[1] 余英林[1] 

机构地区：[1]华南理工大学电子与通信工程系,广州510641

出　　处：《中国图象图形学报（A辑）》2001年第2期123-128,共6页Journal of Image and Graphics

基　　金：国家自然科学基金! (6 972 0 2 6 );广东省自然科学基金资助项目

摘　　要：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。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.

关 键 词：色彩分量相关性 相关系数 小波变换 零树编码 彩色图象 压缩编码 

分 类 号：TN919.81[电子电信—通信与信息系统]