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An image coding method by prediction of multiresolution subimages

机译:通过预测多分辨率子图像的图像编码方法

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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.
机译:本文提出了一种利用边缘信息以及原始图像的多分辨率和多频率子图像之间的相关性的新颖编码技术。为了获得高压缩比而不会出现明显的主观退化,我们的方案将强转换(或边缘)和残差源分量的编码分开。边缘源由链编码器编码。使用通过应用子带滤波器生成的多分辨率子图像对残差源进行编码。子图像中的每个块都是通过具有相同方向的较低分辨率子图像中的块的仿射变换来预测的。由于所提出的方案是非迭代方案,因此仿射变换不会对块映射或等距运算构成任何收缩性约束。实验结果表明,在视觉质量和比特率方面,我们的方案的性能均优于基于迭代变换理论的编码器和其他流行的图像编码器(如JPEG)。

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