Color Image Coding Using Region-based Spectral Correlation Estimator

摘要

This paper is related to the Region-based Spectral Correlation Estimation(RSCE) Coding method that makes it possible to achieve the high-compression ratio by estimating color component images from luminance image, which is based on each region in the image. The proposed algorithm is composed of three steps. First, Y/C bit-plane summation image is defined using normalized chrominance summation image and luminance image, and then the Y/C bit-plane summation image is segmented for extracting the shape information of the regions. Secondly, the scale factor and the offset factor minimizing the approximation square errors between luminance image and R, B images by the each region are calculated. Finally, the scale factor and the offset factor for the each region is encoded into bitstream. Referring to the results of computer simulation, the proposed method provides more than two or three times higher compression ratio than Baseline JPEG or JPEG2000/EBCOT algorithm in terms of bpp needed for encoding two color component images with the same PSNR.