Image deblurring based on the estimation of PSF parameters and the post-processing

被引:9
作者
Lee, Jong Min [1 ]
Lee, Jeong Ho [1 ]
Park, Ki Tae [2 ]
Moon, Young Shik [1 ]
机构
[1] Hanyang Univ, Dept Comp Sci & Engn, Ansan 426791, Gyeonggi Do, South Korea
[2] Hanyang Univ, Gen Educ Curriculum Ctr, Ansan 426791, Gyeonggi Do, South Korea
来源
OPTIK | 2013年 / 124卷 / 15期
基金
新加坡国家研究基金会;
关键词
Image reconstruction; Deblurring; Point spread function; Deconvolution;
D O I
10.1016/j.ijleo.2012.06.067
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Two parameters of a point spread function (PSF) are the length and angle of the blur kernel. The deblurring performance is affected by the estimation accuracy of the two PSF parameters. In this paper, we propose a method of the PSF parameters estimation and the image reconstruction by using the periodicity of motion blurred images in the frequency domain and propose the reconstruction method using the proposed post-processing for reducing ringing artifacts. Experimental results show that the proposed method estimates the PSF parameters more accurately than the existing ones. (C) 2012 Elsevier GmbH. All rights reserved.
引用
收藏
页码:2224 / 2228
页数:5
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