基于小波变换与改进分形结合的图像压缩算法研究  

Research of Image Compression Based on the Combination of Wavelet Transform and Improved Fractal

作　　者：吴晓云 赵杰 WU Xiaoyun;ZHAO Jie(College of Electronic Information and Electrical Engineering,Shangluo University,Shangluo 726000,Shaanxi China)

机构地区：[1]商洛学院电子信息与电气工程学院,陕西商洛726000

出　　处：《河南科学》2018年第3期316-319,共4页Henan Science

基　　金：陕西省教育厅科研计划项目(17JK0238)

摘　　要：针对传统的分形图像压缩编码时间长的缺点,提出了改进的分形编码方法,并将小波变换与改进的分形编码结合.在MATLAB软件中进行测试实验,实验结果表明,与传统的分形编码算法相比,在保证图像压缩质量基本不变的情况下,新算法编码时间大大缩短了,并且提高了压缩比,具有较高的应用价值.Due to shortcomings of the long time of traditional fractal image compression,an improved fractal coding method is proposed in this paper.The wavelet transform is combined with the improved fractal coding.Test experiments are runned in MATLAB software and the experimental results show that in the case that the quality of the image compression is basically unchanged,the coding time of the algorithm which is proposed in this paper is greatly shortened than traditional fractal coding algorithm,and compression ratio is improved.This algorithm has high application value.

关 键 词：分形编码 小波变换 零树编码 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]