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Efficient Quadtree-based Fractal Image Coding Scheme in Wavelet Transform Domain

机译:小波变换域中基于四叉树的高效分形图像编码方案

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This paper presents an efficient quadtree-based fractal image coding scheme in wavelet transform domain based on the wavelet-based theory of fractal image compression introduced by Davis. In the scheme, zerotrees of wavelet coefficients are used to reduce the number of domain blocks, which leads to lower bit cost required to represent the location information of fractal coding, and overall entropy-constrained optimization is performed for the decision trees as well as for the sets of scalar quantizers and self-quantizers of wavelet subtrees. Experiment results show that at the low bit rates, the proposed scheme gives about 1 dB improvement in PSNR over the reported results.
机译:基于戴维斯提出的基于小波的分形图像压缩理论,提出了一种有效的基于四叉树的小波变换域分形图像编码方案。在该方案中,小波系数的零树被用于减少域块的数量,这导致表示分形编码的位置信息所需的比特成本降低,并且对决策树和决策树执行整体熵约束优化。小波子树的标量量化器和自量化器的集合。实验结果表明,在低比特率下,所提出的方案在PSNR方面比所报告的结果提高了约1 dB。

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