A new color transformation for JPEG-2000 image compression

Authors:
Mohammed S. Al-Rawi;Abd El-Latif Abu-Dalhoum;Yousef Salah;Wesam Al-Mobaideen;Ansar Khoury
Affiliations:
Computer Science Department, King Abdullah II School for Information Technology, The University of Jordan;Computer Science Department, King Abdullah II School for Information Technology, The University of Jordan;Computer Science Department, King Abdullah II School for Information Technology, The University of Jordan;Computer Science Department, King Abdullah II School for Information Technology, The University of Jordan;Computer Science Department, King Abdullah II School for Information Technology, The University of Jordan
Venue:
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
Year:
2008

Citing 4
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Abstract

Within the rapid growth of the World Wide Web, image compression techniques play an important role in multimedia applications. The JPEG-2000 which is based on the wavelet transform is a promising image compression technique expected to replace the current discrete cosine transform based compression known as JPEG. In this paper, genetic algorithms are used to optimize the coefficients of the RGB to YCbCr color transform used in JPEG-2000 and to find alternate color transform. The transform coefficients are optimized using fitness functions based on the root mean square error between the original and the reconstructed image. The resultant color transformations revealed an enhancement in the JPEG-2000 codec by achieving higher image fidelity and less image distortion.