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Hybrid fractal image coding with quadtree-based progressive structure

机译:基于四叉树渐进结构的混合分形图像编码

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摘要

A progressive structure which takes the quadtree depth into consideration is proposed for fractal image coding. Simulation results show that its image quality at different received data rates is better than that without considering the quadtree level. Then, a hybrid fractal image coding scheme based on traditional and no-search fractal image coding with the proposed progressive structure is suggested. The image quality and compression ratio can be controlled by a threshold, which makes it downward compatible to the no-search fractal image coding. Experimental results justify that the progressive performance of the proposed scheme is better than that of traditional fractal image coding.
机译:对于分形图像编码,提出了一种考虑四叉树深度的渐进结构。仿真结果表明,在不同接收数据速率下,其图像质量要好于不考虑四叉树水平的图像质量。然后,提出了一种基于传统分形图像编码和无搜索分形图像编码的混合分形图像编码方案。图像质量和压缩率可以通过阈值控制,这使其与无搜索分形图像编码向下兼容。实验结果证明,该方案的渐进性能优于传统的分形图像编码。

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