基于小波变换和算术编码的无损图像压缩方法研究（英文）  

Research on lossless image compression method based on wavelet transform and arithmetic coding

作　　者：刘海涛 汪斌[3] Hai-tao LIU;Bin WANG(School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University,Beijing 100044,China;Department of Information and Management Engineering,Inner Mongolia Technical College of Mechanics ag Electrics,Hohhot 110070,China;School of Computer Science,Beijing Jaotong University,Beijing 100044,China)

机构地区：[1]北京交通大学机械与电子控制工程学院,北京100044 [2]内蒙古机电职业技术学院信息与管理工程系,呼和浩特010070 [3]北京交通大学计算机学院,北京100044

出　　处：《机床与液压》2018年第18期32-37,共6页Machine Tool & Hydraulics

基　　金：Science Research Project of Higher Education in Inner Mongolia Autonomous Region(NJZY17469)

摘　　要：为了提高图像压缩的性能以便实现更好的无损图像压缩,提出了一种基于小波变换和算术编码的无损图像压缩方法。首先,该方法对图像的所有高频和低频分量进行整数小波变换。然后利用期望最大化算法和最大似然估计对几何分布有限混合模型的参数进行了估计。最后结合直方图截断方法完成算术编码。多组图像数据的测试结果显示相比于其他方法,提出压缩方法表现出较好的压缩性能(主观和客观保真度指标),即更高的压缩比和峰值信噪比。In order to improve the performance of image compression so as to achieve better lossless image compression,a lossless image compression method based on wavelet transform and arithmetic coding is proposed in this paper.First of all,this method performs integer wavelet transform on all the high-frequency and low-frequency components of the image.Then,the parameters of the finite mixture model with geometric distribution are esti mated by using the expectation maximization algorithm and the maximum likelihood estimation.Finally,the arithmetic coding is completed by the method of histogam truncation.The test results of multiple sets of image data show that compared with other methods,the proposed compression method has better compression performance(subjective and objective fidelity index),i.e.,higher compression ratio and peak signal-to-noise ratio.ood estimation.Finally,the arithmetic coding is completed by the method of histogam truncation.The test results of multiple sets of image data show that compared with other methods,the proposed compression method has better compression performance(subjective and objective fidelity index),i.e.,higher compression ratio and peak signal-to-noise ratio.

关 键 词：无损图像压缩 整数小波变换 算术编码 压缩比 PSNR 

分 类 号：TN91[电子电信—通信与信息系统]