A PSF Estimation Based on Hough Transform Concerning Gradient Vector for Noisy and Motion Blurred Images

Morihiko SAKANO  Noriaki SUETAKE  Eiji UCHINO  

IEICE TRANSACTIONS on Information and Systems   Vol.E90-D   No.1   pp.182-190
Publication Date: 2007/01/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Advanced Image Technology)
image restoration,  point spread function,  motion blur,  motion direction and length,  gradient vector,  Hough transform,  

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The estimation of the point-spread function (PSF) is one of very important and indispensable tasks for the practical image restoration. Especially, for the motion blur, various PSF estimation algorithms have been developed so far. However, a majority of them becomes useless in the low blurred signal-to-noise ratio (BSNR) environment. This paper describes a new robust PSF estimation algorithm based on Hough transform concerning gradient vectors, which can accurately and robustly estimate the motion blur PSF even in low BSNR case. The effectiveness and validity of the proposed algorithm are verified by applying it to the PSF estimation and the image restoration for noisy and motion blurred images.