Lossless interframe image compression via context modeling

Xiaolin Wu, W. K. Choi, N. Memon
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引用次数: 33

Abstract

In this paper, we present an interband version of CALIC (context-based adaptive lossless image codec), a lossless image coding technique. It is demonstrated that CALIC's techniques of context-based modeling of images lend themselves easily to modeling of image sequences. The generalized interframe CALIC can exploit both interframe and intraframe statistical redundancies, and obtain significant compression gains over intraframe CALIC. The advantage of interframe CALIC is demonstrated by experimental results on different types of multispectral images.
基于上下文建模的无损帧间图像压缩
在本文中,我们提出了CALIC(基于上下文的自适应无损图像编解码器)的带间版本,这是一种无损图像编码技术。结果表明,CALIC的基于上下文的图像建模技术可以很容易地对图像序列进行建模。广义帧间CALIC可以利用帧间和帧内的统计冗余,并且比帧内CALIC获得显著的压缩增益。在不同类型多光谱图像上的实验结果证明了帧间CALIC的优越性。
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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