基于不同块大小的分形编码技术

Nahla Abdul Jalil Salih
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引用次数: 5

摘要

该方法为减少“分形编码算法”中的编码时间提供了一种自适应的新方法。这种技术减少了用于每个域块的“转换次数”。因此,减少了在一个“范围块和域块”之间进行比较所需的时间。在这种技术中,我们根据方差标准对图像进行分区。使用了不同的块大小(4-16)。结果表明,四叉树分区产生的分区(块)数量强烈依赖于所采用的分区参数(即标准差、均值、最小和最大块大小)。选取均值(0.1-0.4)和标准差(0.5-3)的小数值,重建出高质量的图像和低压缩比(如:我们得到PSNR =34.8dB, CR=4.89 et =18s,反之亦然。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fractal coding technique based on different block size
The proposed technique presents adaptive new method used to decrease the encoding time in “fractal coding algorithms”. This technique reduces the “number of transforms” used to each domain block. So, the time required for the comparison between one “range block and domain blocks” is decreased. In this technique we partitioned the image depending on the Variance Criteria. Different block sizes ranging (4-16) have been used. The results show that the number of partitions (blocks), produced by quadtree partition, depends strongly on the adopted partitioning parameters (i.e. the Standard deviation, Mean, Minimum, and Maximum block size). The selection of small values of Mean(0.1-0.4) and Standard deviation (0.5-3) had reconstructed high image quality and low compression ratio,(e.g. we get PSNR =34.8dB and CR=4.89 E.T=18s) and vice versa.
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