A PSF Estimation Based on Hough Transform Concerning Gradient Vector for Noisy and Motion Blurred Images
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E90-D No.1 pp.182-190
- Publication Date
- 2007/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Advanced Image Technology)
- Category
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Morihiko SAKANO, Noriaki SUETAKE, Eiji UCHINO, "A PSF Estimation Based on Hough Transform Concerning Gradient Vector for Noisy and Motion Blurred Images" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 1, pp. 182-190, January 2007, doi: .
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/e90-d_1_182/_p
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@ARTICLE{e90-d_1_182,
author={Morihiko SAKANO, Noriaki SUETAKE, Eiji UCHINO, },
journal={IEICE TRANSACTIONS on Information},
title={A PSF Estimation Based on Hough Transform Concerning Gradient Vector for Noisy and Motion Blurred Images},
year={2007},
volume={E90-D},
number={1},
pages={182-190},
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.},
keywords={},
doi={},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - A PSF Estimation Based on Hough Transform Concerning Gradient Vector for Noisy and Motion Blurred Images
T2 - IEICE TRANSACTIONS on Information
SP - 182
EP - 190
AU - Morihiko SAKANO
AU - Noriaki SUETAKE
AU - Eiji UCHINO
PY - 2007
DO -
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2007
AB - 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.
ER -
English
