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Image compression algorithm based on fractal-wavelet

机译:基于分形小波的图像压缩算法

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摘要

For wavelet transferred image, there is great relevance between sub-bands with the same direction but different resolutions. A considering to this characteristic, this algorithm adopts diverse error thresholds as well as searching steps when fractal searching is made. Great searching steps along with small error thresholds apply to high frequency sub-bands, while the contrary is suitable for low ones. The experiment results show that compression rate is largely increased by this algorithm and the speed of encoding without reducing SNR and quality of decoded images, which is superior to the traditional wavelet coding algorithms.
机译:对于小波传输图像,子带具有相同方向但分辨率不同的子带之间存在很大的相关性。考虑到这一特征,该算法采用不同的误差阈值以及进行分形搜索时的搜索步骤。很棒的搜索步骤以及小错误阈值适用于高频子带,而相反适合低频。实验结果表明,这种算法的压缩率大大增加,并且在不降低SNR和解码图像的质量的情况下进行编码速度,其优于传统的小波编码算法。

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