摘要
轮廓波变换具有多分辨率、多方向性、局部化、临界采样、各向异性等许多优良特性。用它来处理图像能在提高图像视感质量的同时又使图像细节损失尽量减小,从而达到比较理想的图像处理效果。采用了一种非线性处理方法对Contourlet的系数进行了调整,进而对图像处理达到比较理想的效果;基于Contourlet域的维纳滤波去噪新算法,使得图像更清晰并且减少了噪声,达到了较好的视觉效果。
The contourlet Transform has many characteristic such as many resolution ratios,much directionality,localization,critical sampling,aeolotropism etc.It sells result at reduced prices with the comparatively ideal image coming to handle an image being able to make image detail loss,thereby improving an image looking at feeling mass it.the main body of a book has been adopt to grow the nonlinearity treatment method once making adjustment to the Contourlet modulus,has reached and then comparatively ideal effect to image treatment;Secondly,the application in being to be in blurred and an image having noise,the main body of a book Wiener wave filtering adopting Contourlet region-based go and chirp the new has been algorithmic,the image has been more limpid and has decreased by noise,have reached very good optesthesia effect.
出处
《电脑开发与应用》
2011年第3期36-38,共3页
Computer Development & Applications
