利用互谱信息进行彩色图像压缩

Emilia Lavi-Burlak, M. Porat
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引用次数: 1

摘要

作为压缩过程的一部分,大多数图像压缩算法倾向于去关联RGB颜色组件。然而,如果在压缩过程中利用互光谱信息,则颜色成分之间的高相关性可能会有所帮助。本文介绍了一种新的彩色图像压缩方法,该方法通过增加和利用RGB分量的高互谱信息来提高压缩结果的质量。给出了仿真结果并进行了讨论。我们的结论是,颜色成分之间较高的相关性有助于改善图像压缩,并且优于去相关图像成分的常见方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color Image Compression using Mutual Spectral Information
Most image compression algorithms tend to decorrelate the RGB color components as part of the compression process. Nevertheless, the high correlation between color components could be helpful if mutual spectral information is exploited in the compression process. In this paper we introduce a new approach to color image compression that increases and exploits the high mutual spectral information of RGB components to improve the results' quality. Simulation results are presented and discussed. Our conclusion is that higher correlation between color components could contribute to improved image compression and be superior to the common approach of decorrelated image components.
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