小波变换域噪声图像压缩编码  

Noised Image Compression and Coding in Wavelet Transform Domain

作　　者：沈建军 肖亮[1] 沈振康[1] 

机构地区：[1]长沙国防科技大学电子技术系,410073

出　　处：《系统工程与电子技术》1999年第12期17-19,共3页Systems Engineering and Electronics

摘　　要：提出一种对于受高斯白噪声污染的图像压缩编码方法。首先对图像进行离散小波变换 ,然后对其小波变换域系数采用软阈值收缩方法实现去噪 ,最后利用零树方法对其进行压缩编码。实验结果表明 ,所提出的方法不仅能获取较高的图像压缩率 ,而且能较好地去除噪声。This paper presents a compression and coding method for image with Gaussian white\|noise polluted.Firstly, the image is discrete wavelet transformed,then the noise is removed by soft\|threshold method,and at last we compress and code it by using zerotree method.The experimental result shows that our method can not only achieve high compress ration,but also remove noise well.

关 键 词：图像处理 图像编码 小波变换 图像压缩 

分 类 号：TN919.8[电子电信—通信与信息系统]