摘要
针对模糊含噪图像,提出了一种新的图像复原方法.该方法通过将调制核算法和Richardson-Lucy算法相结合,先对模糊含噪图像运用调制核算法去噪,提高图像的信噪比,然后运用Richardson-Lucy迭代算法复原图像.克服了单纯使用Richardson-Lucy复原算法由于反复迭代所带来的噪音放大问题,并通过实验进行了验证,发现该方法能够使复原效果得到明显改善.
This paper will propose a new image restoration method for the blurred noisy image. It combines Richardson-l.ucy algorithm with steering-kernel. This method uses steering-kernel to contain the noise of the blurred noisy image firstly, which improving the signal-to-noise ratio of the image,and then use Richardson-I.ucy algorithm to recover the blurred noisy image. This method can overcome the noise amplification problem that caused by the repeated iteration when this paper make use of the Richardson-I.ucy algorithm merely,and has been verified by experiments that this method can improve the recovery effect significantly.
出处
《东北师大学报（自然科学版）》
CAS
CSCD
北大核心
2014年第1期66-70,共5页
Journal of Northeast Normal University(Natural Science Edition)
基金
国家自然科学基金资助项目(11275046
11305034)
国家重大科学仪器设备开发专项资金资助项目(2013YQ040861)
吉林省博士后科研项目(RB201331)
