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Fractal Image Encoding Based on Adaptive Search

机译:基于自适应搜索的分数维图像编码

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摘要

Finding the optimal algorithm between an efficient encoding process and the rate distortion is the main research in fractal image compression theory. A new method has been proposed in this paper based on the optimization of the Least-Square Error and the orthogonal projection. A large number of domain blocks can be eliminated, in order to speed-up fractal image compression. Moreover, since the rate-distortion performance of the most fractal image coders is not satisfactory, a n efficient bit allocation algorithm to improve the rate distortion is also proposed. Some implementation and comparison have been done with the feature extraction method to prove the efficiency of the proposed method.
机译:在高效编码过程和速率失真之间找到最佳算法是分形图像压缩理论的主要研究。本文提出了一种新方法,基于对最小二乘误差和正交投影的优化。可以消除大量域块,以便加速分数形图像压缩。此外,由于最分形图像编码器的速率变形性能不令人满意,因此还提出了提高速率失真的N有效位分配算法。采用特征提取方法完成了一些实施和比较,以证明该方法的效率。

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