基于Curvelet变换的图像消噪  

Image Denoising Based on Curvelet Transform

作　　者：何劲[1] 李宏伟[1] 张帆[1] 

机构地区：[1]空军工程大学,陕西西安710077

出　　处：《现代电子技术》2008年第2期140-141,144,共3页Modern Electronics Technique

摘　　要：小波变换对图像消噪能够起到较好的效果,但是对图像中线性区域的处理存在局限性。Curvelet变换是一种新的具有方向性的多尺度变换,他处理图像线性区域能有更好的效果。将Curvelet变换运用到图像消噪中,实验结果表明,他的消噪结果比小波消噪有着更好的视觉效果,并且PSNR也得到一定的提高。Wavelet transform has a good effect in image denoising, but there is some limitation when it is used in processing the image edges. Curvelet transform is a new multiscale analysis algorithm, and is more efficiently for the analysis of the image edges. This paper applies Curvelet transform to the image denoising, experiments show that it is more effective in the vision than Wavelet transform,and PSNR is improved too.

关 键 词：小波变换 CURVELET变换 RIDGELET变换 图像消噪 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]