Contourlet变换中不同滤波器对图像去噪效果的研究  

Research on Image Denoising via Different Filters in Contourlet Domain

作　　者：李洪均[1] 赵志敏[1] 陈远[1] 郑敏[1] 

机构地区：[1]南京航空航天大学,江苏南京210016

出　　处：《红外技术》2008年第8期450-453,共4页Infrared Technology

摘　　要：在对Contourlet变换涉及的方向滤波器和金字塔滤波器分析的基础上,验证了选择不同滤波器对图像去噪的影响,提出在Contourlet变换中应用具有视觉特性的紧支双正交滤波器,可以提高图像去噪的效果。仿真试验表明,文中提出的滤波器不仅使原有的Contourlet变换的去噪效果获得提高,而且文中提出的滤波器使CHMT(Contourlet domain Hidden Markov Trees)去噪效果得到优化,去噪后图像的PSNR有明显提高。In this paper we analyzed directional filter and pyramid filter in Contourlet transform, confirmed the different choices of filters which directly affect the image denoising result, so we constructed a kind of compactly supported biorthogonal filter based on human visual Characteristics and applied it to image denoising. The new Contourlet transform algorithm can improve the result of image denoising, but the most important improvement is the great superiority shown by new Contourlet domain hidden markov tree （CHMT） algorithm in image denoising. The denoised images via new CHMT algorithm have been improved on PSNR.

关 键 词：图像去噪 CONTOURLET变换 紧支双正交滤波器 CHMT 

分 类 号：TN216[电子电信—物理电子学]