Blurred image restoration: A fast method of finding the motion length and angle

被引:50
作者
Dobes, Michal [2 ]
Machala, Libor [1 ]
Fuerst, Tomas [3 ]
机构
[1] Palacky Univ, Dept Expt Phys, Fac Sci, Olomouc 77146, Czech Republic
[2] Palacky Univ, Dept Comp Sci, Fac Sci, Olomouc 77146, Czech Republic
[3] Palacky Univ, Dept Math Anal & Applicat Math, Fac Sci, Olomouc 77146, Czech Republic
关键词
Motion blur; Deconvolution; Image restoration; Fast Fourier Transform; DECONVOLUTION; PERFORMANCE;
D O I
10.1016/j.dsp.2010.03.012
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Motion blur in photographic images is a result of camera movement or shake. Methods such as Blind Deconvolution are used when information about the direction and size of blur is not known. Restoration methods, such as Lucy and Richardson or Wiener reconstruction use information about the direction and size of the blur in the deconvolution kernel (called Point Spread Function - PSF). Correct and fast determination of the direction and size of blur improves the quality of restoration and it can substantially reduce the computational time. In this article, a fast method for finding the direction and size of the blur automatically is presented. The method is based on computation of the power spectrum of the image gradient in the frequency domain. The method has achieved good results on both types of images: artificially blurred and naturally blurred (by the camera shake). (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:1677 / 1686
页数:10
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