一种适用于高低压缩率的全四叉树无搜索IFS分形图像编码算法

Kairai Chen, Xianwei Wu
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引用次数: 1

摘要

分形图像压缩由于编码时间长、编码书结构低效率等缺点,在高质量图像压缩中应用较少。本文提出了一种基于全四叉树范围块分割的无搜索分形编码算法,该算法可以有效地对2x2范围块甚至单个像素进行编码。这种方法解决了这两个问题,因此可以用于执行高质量的图像压缩。实验结果表明,无论在低压缩率还是高压缩率下,该算法都能比传统的基于搜索和无搜索分形方法获得更好的压缩比和重构图像质量。该算法的另一个优点是编码速度快,不需要搜索过程。该算法的编码时间仅为传统分形算法的一小部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A full quadtree searchless IFS fractal image encoding algorithm applicable in both high and low compression rates
Fractal Image Compression is rarely used in high-quality image compression situation because of its long encoding time and inefficiency of encoding book structure. This paper introduces a novel searchless fractal encoding algorithm based on full quadtree range block partition that can efficiently encode 2x2 range blocks or even individual pixels. This approach addresses both problems and thus can be used to perform high-quality image compression. Experimental results show that the algorithm is capable of providing superior performance in achieving better compression ratio and reconstructed image quality compared to traditional search-based and searchless fractal methods in both low and high compression rates. Another advantage of the algorithm is its fast encoding speed since no search process is needed in this approach. The encoding time of this algorithm is only a fraction of traditional fractal algorithms.
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