基于可变块的彩色图像分形压缩技术

Nisar Ahmed, S. A. Sattar
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引用次数: 0

摘要

分形图像压缩的主要目的是减小图像的大小,并保持其重建图像的良好水平。分形图像压缩的一个主要问题是图像质量、压缩比和PSNR的降低。为了克服这些问题,我们采用了熵编码的分形变换。拟议方法分为两个阶段。在第一阶段中,使用可变范围块大小将彩色图像分离成三个RGB平面。在第二阶段中,通过应用逆变换和迭代函数来恢复图像。观察到,对于灰度图像和彩色图像,分形压缩的结果都有所改善。在这项工作中,与固定块范围和其他现有方法相比,观察到了高CR和PSNR。所提出的工作产生了较好的CR(20)和较高的PSNR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FRACTAL COMPRESSION TECHNIQUE FOR COLOR IMAGES USING VARIABLE BLOCK
The main intention of Fractal Image Compression is to reduce the size of image and maintain good level of their reconstructed image. A major issue in Fractal Image Compression is decrease in image quality, compression ratio and PSNR. To overcome these issues we employ Fractal transformation with entropy coding. There are two phases in the proposed approach. In the first phase color images are separated into three RGB planes using variable range block size. In second phase by applying the inverse transform and iterative functions the image is restored. It is observed that the results are improving in fractal compression for both gray images as well as color images. In this work high CR and PSNR is observed compared to fixed block range and other existing methods. The proposed work yields better CR of 20 and high PSNR.
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