一种新的祛除彩色图像色彩分量相关性的方法及其编码方案

为了能够较好地祛除彩色图像色彩分量的相关性，并能获得较好的恢复图像，基于图像色彩信息矩阵，提出了一种新的祛除彩色图像色彩分量相关性的方法，并利用该方法在新的色彩空间，针对新分量的不同性质对图像进行了量化编码。与KLT色彩空间类似，新色彩空间也充分利用了图像本身原始色彩分量的相关性，但却基于与KLT色彩空间变换不同的最优标准。通过对新色彩空间编码性能进行的实验分析结果表明，该方法较好地祛除了彩色图像色彩分量的相关性，且算法实现简单，具有较好的信噪比、压缩比，不仅恢复图像视觉效果良好，并且易于与其他的压缩、编码方法结合使用。

A New Approach to Decorrelating Color Components of Color Images and Corresponding Coder

In order to dispel the correlation between color components of color images more efficiently and get the better color images compression results, in this paper, a new approach to decorrrelate color components of color images is presented based on the color information matrix. A quantization and encoding scheme is provided in the new color space according to the characters of the new color components respectively. Similar to the KLT color space, the new color space is also data dependent which can take full advantage of the inherent correlation between color components of original images. It differs, however, from the KLT color space in the optimal standards. The KLT color space is optimal when the original color components of images have been centralized, while the new color space is optimal when the original color components of images have not been centralized. Many experiments are carried out to analyze the encoding performance in the new color space. The results show that the new approach can get rid of the correlation between color components of color images efficiently and is easily implemented. It also boasts of better signal to noise ratio and higher compression rates. The reconstructed image is visual comfort and the coder is easily combined with other compression and encoding methods.