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Novel hybrid fractal image encoding algorithm using standard deviation and DCT coefficients

机译:基于标准差和DCT系数的新型混合分形图像编码算法

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摘要

In this paper, a fast fractal encoding algorithm using standard deviation (STD) and DCT coefficients is proposed. First, the STD values of domain blocks are calculated. Then, domain blocks are sorted by their STD values. During the encoding process, each range block is limited to search in the domain blocks with similar STD values. Since the searching space is reduced, the encoding speed is improved. Moreover, for improving the quality of the retrieved image, an auxiliary encoding algorithm (AEA) is proposed, and it could encode range blocks in which the pixel values fluctuate greatly. In the decoding step, a kind of simple line fitting on block boundaries is used to reduce the blocking effects. Simulation results show that the runtime of the proposed method is reduced greatly compared to the full search method. And the new algorithm could obtain good quality and higher compression ratio than the baseline encoding algorithm.
机译:本文提出了一种使用标准偏差(STD)和DCT系数的快速分形编码算法。首先,计算域块的STD值。然后,按其STD值对域块进行排序。在编码过程中,每个范围块被限制为在具有相似STD值的域块中进行搜索。由于减少了搜索空间,因此提高了编码速度。此外,为提高检索图像的质量,提出了一种辅助编码算法(AEA),它可以对像素值波动很大的范围块进行编码。在解码步骤中,使用一种在块边界上的简单线拟合来减小块效应。仿真结果表明,与全搜索方法相比,该方法的运行时间大大减少。并且与基线编码算法相比,新算法可以获得更好的质量和更高的压缩率。

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