频域正则求逆小波域维纳滤波图像复原  

Image restoration using frequency-domain regularized inversion and wavelet-domain wiener filtering

作　　者：董湘君[1] 常鸿森[2] 郑楚君[2] 

机构地区：[1]广东技术师范学院自动化系,广州510635 [2]华南师范大学物理与电信工程学院,广州510631

出　　处：《激光杂志》2006年第1期51-52,共2页Laser Journal

基　　金：广东省自然科学基金资助项目(021089)

摘　　要：采用频域正则化求逆和小波域维纳滤波去噪的方法对已知线性降晰模型的含噪图像进行图像复原。实验结果表明,本文算法的复原效果明显优于频域维纳滤波复原和小波域正则反卷积复原。Image is restored which is blurred by the known linear model and noise, with the method of frequency-domain regularized inversion and wavelet-domain wiener filter denoising. The experimental result shows that the restoration effect of the algorism in this paper is obviously superior to the frequency-domain wiener filtering restoration and wavelet-domain regularized deconvolution restoration.

关 键 词：正则求逆 小波去噪 图像复原 小波域维纳滤波 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391.4[电子电信—信息与通信工程]