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Optimal color coding for compression of true color images

机译:最佳彩色编码,可压缩真彩色图像

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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. !16
机译:摘要:在本文中,我们提出了一种改善真彩色或其他多光谱图像有损压缩的方法。该方法的本质是将初始色彩平面投影到Karhunen-Loeve(KL)基础中,从而为图像提供完全去相关的表示,并压缩基础功能而不是平面。为此,提出了一种具有低内存消耗的新的真正的KL基础构造的快速算法,并且我们最近提出的方案是在使用压缩时找到K1函数的最佳损失。与CMYK图像的标准JPEG压缩相比,该方法提供了0.2到2 dB的PSNR增益,具有便利的压缩率。获得了高分辨率CMYK图像的实验结果。证明了所提出的方案可以在通用硬件上工作。 !16

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