维纳滤波图像复原技术的研究与改进  

Wiener Filtering Image Restoration Technology Research and Improvement

作　　者：杨艳美[1] 高满屯[1] 贺剑[1] 

机构地区：[1]西北工业大学机电学院,西安710072

出　　处：《科学技术与工程》2012年第29期7611-7615,共5页Science Technology and Engineering

摘　　要：图像复原是图像处理中的一个重要问题。对于改善图像质量具有重要的意义。已在实际应用中被证明是有效的重要的图像复原技术有很多,而维纳滤波法提供了一种在有噪声情况下导出反卷积传递函数的最优方法,它是频率域最常用的一种恢复方法。详细研究讨论了对维纳滤波算法的变通与改进,并针对维纳滤波方法恢复运动模糊加噪图像时出现的边界模糊或振铃效应提出了一种改进算法,很好地复原出了图像的重要信息,并具有令人满意的视觉效果。Image restoration in image processing is an important problem, and is of great significance to ira- prove image quality. There are a lot of important image restoration technologies that already proved to be effective in the actual application, but wiener filtering algorithm provides an optimal method that can derive the deconvolution transfer function in the situation of noise . It is the most commonly used recovery method in the frequency domain. The adaptation and improvement of wiener filtering algorithm in detail are analyzed and researched it and studied and discussed, then, proposed an modified method in the light of fuzzy boundary or ringing effect produced when restoring the motion noise blurred images that can restore important information of images better, producing satisfac- tory visual effects.

关 键 词：图像复原 维纳滤波 功率谱均衡 几何均值滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]