摘要
提出了一种基于视觉特性的彩色图像小波变换编码方法。该方法是以一种简单的灰度图像小波编码方法为基础 ,首先通过小波变换将图像进行多分辨率分解 ;然后对彩色分量的高频子带数据进行适当的抛弃 ;对小波图像的高频数据采取自适应阈值量化方法克服恢复图像中的分量独立点噪声污染现象 ;最后根据小波系数的码字分布特征 ,采用行程编码结合Huffman编码。该方法可保证重建图像的主观视觉效果良好 。
Puts forward a coding method of wavelet for color image based on vision character. This method is based on a simple wavelet coding method for grey images, and includes several stages: multi differentiating rate decomposing by wavelet, abandoning of some high frequency sub band data of the color heft, adaptive threshold value quantizing in allusion to the yawp pollution of heft independent points, and the realization of effective coding by the combining of journey coding and Huffman coding based on the code distributing characterstic of wavelet modulus.
