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

  • Authors:

  • Morihiko Sakano;Noriaki Suetake;Eiji Uchino

  • Affiliations:

  • The authors are with Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi-shi, 753--8512 Japan. E-mail: sakano@ic.sci.yamaguchi-u.ac.jp, E-mail: suetake@sci.yamaguchi-u.ac.j ...;The authors are with Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi-shi, 753--8512 Japan. E-mail: sakano@ic.sci.yamaguchi-u.ac.jp, E-mail: suetake@sci.yamaguchi-u.ac.j ...;The authors are with Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi-shi, 753--8512 Japan. E-mail: sakano@ic.sci.yamaguchi-u.ac.jp, E-mail: suetake@sci.yamaguchi-u.ac.j ...

  • Venue:
  • IEICE - Transactions on Information and Systems
  • Year:
  • 2007

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Abstract

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.