Polynomial based fractal image compression using DWT screening

P. Chauhan, Bhumika Gupta, Upendra Ballabh
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引用次数: 2

Abstract

Picture pressure is a fundamental innovation in sight and sound and advanced correspondence fields. Fractal picture pressure is a potential picture pressure plot because of its potential high pressure proportion, quick decompression and multi determination properties. Fractal picture pressure uses the presence of self symmetry of pictures. It is an lopsided method which take more time in compression than decompressing an image. The intellection is to do utmost of the work during compression. However the high computational unpredictability of fractal picture encoding incredibly limits its applications. A few procedures and enhancements have been recommended to accelerate the fractal picture pressure on polynomial insertion. This paper introduces an audit of the methods such as DWT and CLAHE distributed for speedier fractal picture compression using polynomial introduction with pre pack. Preliminary results shows a quite improvement in compression ratio, mean square blunder and the pinnacle flag to clamor proportion (PSNR).
基于小波变换筛选的多项式分形图像压缩
图像压力是视觉、声音和高级通信领域的一项根本性创新。分形图压力具有潜在压力比例高、解压缩快、可多次测定等特点,是一种潜在的图压力图。分形图像压力利用图像的自对称存在。它是一种不平衡的方法,在压缩时比在解压缩时花费更多的时间。我们的想法是在压缩过程中尽最大努力工作。然而,分形图像编码的高计算不可预测性极大地限制了它的应用。本文介绍了几种加速多项式插入分形图像压力的方法和改进方法。本文介绍了采用多项式引入和预压缩的方法来提高分形图像压缩速度的DWT和CLAHE分布方法。初步结果表明,压缩比、均方误差和尖峰旗噪比(PSNR)均有较大改善。
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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