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

Authors:
Michal Dobeš;Libor Machala;Tomáš Fürst
Affiliations:
Dept. of Computer Science, Faculty of Science, Palacký University in Olomouc, Svobody 26, 771 46 Olomouc, Czech Republic;Dept. of Experimental Physics, Faculty of Science, Palacký University in Olomouc, Svobody 26, 771 46 Olomouc, Czech Republic;Dept. of Math. Analysis and Applications of Mathematics, Faculty of Science, Palacký University in Olomouc, Svobody 26, 771 46 Olomouc, Czech Republic
Venue:
Digital Signal Processing
Year:
2010

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Abstract

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).