一种基于多分辨率子图像预测的图像编码方法

H. Wey, M. Kawamata
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引用次数: 1

摘要

本文提出了一种利用原始图像多分辨率、多频率子图像之间的相关性和边缘信息的编码方法。为了在没有明显主观退化的情况下获得高压缩比,我们的方案分离了强过渡(或边缘)和剩余源分量的编码。边缘源由链式编码器编码。使用应用子带滤波器生成的多分辨率子图像对残留源进行编码。通过对具有相同方向的低分辨率子图像中的块进行仿射变换来预测子图像中的每个块。由于所提出的格式是非迭代格式,因此仿射变换对块映射或等距运算不构成任何收缩性约束。实验结果表明,该方案在视觉质量和比特率方面都优于基于迭代变换理论的编码器和JPEG等常用的图像编码器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An image coding method by prediction of multiresolution subimages
This paper presents a novel coding technique using the edge information and the correlation among multiresolution and multi-frequency subimages of an original image. To obtain a high compression ratio without visible subjective degradation, our scheme separates the coding of the strong transitions (or edges) and the residue source component. The edge source is coded by a chain coder. The residue source is coded using multiresolution subimages generated by applying a subband filter. Each block in the subimages is predicted by an affine transformation of blocks in lower resolution subimages with the same orientation. Since the proposed scheme is a non-iterative scheme, the affine transformation does not compose any contractivity constraint on the block mapping or isometry operation. Experimental results show that the performance of our scheme is superior to the iterated transformation theory-based coder and other popular image coders such as JPEG in terms of both the visual quality and bit-rates.
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