基于四叉树的二源图像编码

P. Farrelle, Anil K. Jain
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引用次数: 5

摘要

在本文中,我们描述了我们的双源RBC算法[1]的一种改编,其中我们引入了可变块大小。块的选择满足一定的均匀性标准,并通过图像的四叉树分割生成,这使得分割开销非常有效地编码。该预测组件比具有固定块大小的标准RBC预测改进,并且可以单独使用预测对某些图像进行编码。然而,对于更详细的图像,也对残差分量进行编码是更经济的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quad-Tree based Two Source Image Coding
In this paper we describe an adaptation of our two source RBC algorithm[1] where we introduce a variable block size. The blocks are chosen to meet some uniformity criterion and are generated via a quad-tree segmentation of the image which allows the segmentation overhead to be coded very efficiently. The prediction component is improved over standard RBC prediction with a fixed block size and some images may be coded using the prediction alone. However it is more economical to also code the residual component for more detailed images.
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