基于小波变换和算术编码的无损图像压缩方法研究

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 estimated by using the expectation maximization algorithm and the maximum likelihood estimation.Finally,the arithmetic coding is completed by the method of histogram 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.