How Can Intra Correlation Be Exploited Better?

Feng Wu, Xiulian Peng, Jizheng Xu, Shipeng Li
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Abstract

This paper studies how to better exploit intra correlation in image/intra-frame coding. Unlike the previous assumption, where the correlation between samples is determined only by their distance, image is considered to present local orientation property. The correlation between samples is determined by not only the distance but also the link orientation. Thus, a directional Filtering Transform (dFT) is proposed in this paper to exploit local orientation correlation among samples. It consists of directional filtering and optional transform. Furthermore, this paper analyzes the theoretical coding gain of the proposed directional filtering in terms of signal power spectral density (PSD). Both numerical results and actual compression results of the intra-frame coding in H.264 demonstrate the advantages of the proposed dFT with decoding complexity increased slightly.
如何更好地利用内部相关性?
本文研究了在图像/帧内编码中如何更好地利用帧内相关性。与之前的假设不同,样本之间的相关性仅由它们的距离决定,图像被认为具有局部定向特性。样品之间的相关性不仅由距离决定,而且由链接的方向决定。为此,本文提出了一种利用样本间局部方向相关性的定向滤波变换(dFT)。它由方向滤波和可选变换组成。此外,本文还从信号功率谱密度(PSD)的角度分析了所提出的定向滤波的理论编码增益。H.264帧内编码的数值结果和实际压缩结果都表明了该方法的优越性,但译码复杂度略有提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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