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http://dx.doi.org/10.9728/dcs.2016.17.6.593

Region-based Spectral Correlation Estimator for Color Image Coding  

Kwak, Noyoon (Division of Information and Communication Engineering, Baekseok University)
Publication Information
Journal of Digital Contents Society / v.17, no.6, 2016 , pp. 593-601 More about this Journal
Abstract
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. The proposed method 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 are encoded into bit stream. Referring to the results of computer simulation, the proposed method provides more than two or three times higher compression ratio than JPEG/Baseline or JPEG2000/EBCOT algorithm in terms of bpp needed for encoding two color component images with the same PSNR.
Keywords
Color Image Coding; Spectral Correlation Estimator; Image Segmentation; Image Compression;
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