基于中频的实时图像盲复原算法  

Mid-frequency-based Method for Real-time Blind Image Restoration

作　　者：罗一涵[1] 付承毓[1] 

机构地区：[1]中国科学院光电技术研究所,四川成都610209

出　　处：《四川大学学报（工程科学版）》2010年第6期109-118,共10页Journal of Sichuan University (Engineering Science Edition)

基　　金：中国科学院重点实验室预研基金资助项目(A09K002)

摘　　要：图像盲复原是图像处理中的一个热点课题,但往往因速度过慢而难以应用。为了实现实时图像盲复原,提出了图像"中频域"的新概念,利用中频域可以迅捷准确地估计图像的降质点扩展函数(PSF)和复原图像。其中,提出了一种无任何参数的几何法和特殊的平滑法来有效地定位中频域,并导出了一种新的基于中频域的Wiener滤波来实现图像的快速盲复原。然后,针对适合大量成像系统的G类PSF,利用中频域法和单参数导数拟合法导出了一个新的实时图像盲复原算法,并使用了一种快速平滑法来提高速度。实验证明,该算法具有极速、稳定、参数少、功能多的特点,可用于实时图像的反模糊、细节增强和噪声抑制等处理。Blind Image Restoration（BIR） is hardly applied in image processing due to its slow speed.To achieve real-time BIR,a new concept called the ＂Mid-frequency Region（MR） ＂of an image was proposed,which can be used to estimate the Point Spread Function（PSF） and restore the image rapidly and precisely.In order to locate the MR effectively,a geometrical method without any parameters and special smoothing methods were proposed.And new MR-based Wiener filtering was derived to accomplish BIR quickly,too.Then,using the class G PSFs which fit numerous imaging systems,a new algorithm for real-time BIR was derived with the MR-based method and singleparameter derivative fitting,which was also accelerated with a fast method of smoothing.Experiments showed that the algorithm is speedy,stable,few-parameter and multifunctional,and can accomplish image deblurring,detail enhancement and noise suppression for real-time images.

关 键 词：图像盲复原 盲反卷积 实时 点扩展函数 WIENER滤波 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]