计算机技术与发展2017，Vol.27Issue(6)：46-50,5.DOI:10.3969/j.issn.1673-629X.2017.06.010
基于小波与分形理论的图像压缩编码算法
Image Compression Coding Algorithm Based on Wavelet and Fractal Theory
摘要
Abstract
In fractal image coding,it is the main factor that affects the decoding speed to search the best D sub block of the R sub block from a large number of code-book.However,the time of encode-decode would be significantly reduced if the search range of blocks could be cut down as much as possible.It is the problem that while the speed of encoding being improved the quality of reconstructed image would be getting worse.Aiming at above problems,after a new feature of the image sub-blocks,Euclidean ratio,has been defined,a fractal coding algorithm integrated wavelet transform with fractal encoding has been proposed,which converts the global search code-book to the local search code-book for having shortened the decoding time and employs the smooth property of continuous wavelet transform for improvement of the reconstructed image quality.The simulation results show that the proposed algorithm has not only decreased encode-decode time but also promoted the reconstructed image quality compared with the relative gradients algorithm of the characteristic algorithm.关键词
分形图像编码/小波变换/欧氏比/子块特征Key words
fractal image coding/wavelet transform/Euclidean ratio/sub block feature分类
信息技术与安全科学引用本文复制引用
张爱华,何雨虹,张璟..基于小波与分形理论的图像压缩编码算法[J].计算机技术与发展,2017,27(6):46-50,5.基金项目
国家自然科学基金面上项目(11471114,61372125) （11471114,61372125）
江苏省自然科学基金项目(BK20150867) （BK20150867）
南京邮电大学攀登计划一项(NY210018) （NY210018）
