Optimal color coding for compression of true color images

Yurij S. Musatenko; Vitalij N. Kurashov

doi:10.1117/12.330360

6 November 1998 Optimal color coding for compression of true color images

Yurij S. Musatenko, Vitalij N. Kurashov

Proceedings Volume 3456, Mathematics of Data/Image Coding, Compression, and Encryption; (1998) https://doi.org/10.1117/12.330360
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

In the paper we present the method that improves lossy compression of the true color or other multispectral images. The essence of the method is to project initial color planes into Karhunen-Loeve (KL) basis that gives completely decorrelated representation for the image and to compress basis functions instead of the planes. To do that the new fast algorithm of true KL basis construction with low memory consumption is suggested and our recently proposed scheme for finding optimal losses of Kl functions while compression is used. Compare to standard JPEG compression of the CMYK images the method provides the PSNR gain from 0.2 to 2 dB for the convenient compression ratios. Experimental results are obtained for high resolution CMYK images. It is demonstrated that presented scheme could work on common hardware.

Citation Download Citation

Yurij S. Musatenko and Vitalij N. Kurashov "Optimal color coding for compression of true color images", Proc. SPIE 3456, Mathematics of Data/Image Coding, Compression, and Encryption, (6 November 1998); https://doi.org/10.1117/12.330360

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