A novel method to improve the quality of decoded images in fractal image coding

Kun Zou, Qiang Wang, Z. Zhai
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引用次数: 1

Abstract

In order to improve the quality of decoded images in fractal image coding, a novel method by making use of a modified image is proposed in this paper. Since the degradation of decoded images in fractal coding mainly comes from the poor self-similarity of the input image, a modified image that satisfies good self-similarity and approximates the original image well is constructed. After transforming the input image into the modified image and performing fractal coding method on it, the decoded image with higher quality can be obtained. Simulations show that compared with the conventional fractal coding method, while the same compression ratio is maintained, the proposed method can provide higher PSNR at the expense of slightly longer encoding time.
分形图像编码中提高解码图像质量的新方法
为了提高分形图像编码中解码图像的质量,本文提出了一种利用改进图像进行编码的新方法。由于分形编码中解码图像的退化主要来自于输入图像的自相似度较差,因此构造了一个满足良好自相似度且较接近原始图像的改进图像。将输入图像转换为修改后的图像,并对其进行分形编码,可以得到质量更高的解码图像。仿真结果表明,与传统的分形编码方法相比,在保持相同压缩比的情况下,该方法可以提供更高的PSNR,但编码时间略长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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