A Study on Color Image Coding Technique using Correlations between Color Components

Abstract

RGB is the standard color format for most digital video input and output devices, such as display monitors. However, each component consisting of a natural image has a lot of redundancy. So, a color conversion, which is RGB to YCrCb, has been being used to reduce its redundancy. However, each component of YCrCb signals has no correlation under the higher compression rate, so compression performance is decreased. So, we propose a new color conversion. By implementing the proposed method, which exploits the correlations between the color components, the PSNR of traditional way is higher than that of proposed way under low compression performance. However, it can not be found that the difference of reconstructed images quality is invisible. And the PSNR of traditional way becomes worse quickly under a high compression performance, however, that of proposed way becomes worse slowly, therefore proposed way can produce a better quality of reconstructed image in a low bit-rate. As a result, the examples demonstrated that a better performance of color image coding is obtained.