Identification of Piecewise Linear Uniform Motion Blur
Summary :
A motion blur identification scheme is proposed for non-linear uniform motion blurs approximated by piecewise linear models which consist of more than one linear motion component. The proposed scheme includes three modules that are a motion direction estimator, a motion length estimator and a motion combination selector. In order to identify the motion directions, the proposed scheme is based on a trial restoration by using directional forward ramp motion blurs along different directions and an analysis of directional information via frequency domain by using a Radon transform. Autocorrelation functions of image derivatives along several directions are employed for estimation of the motion lengths. A proper motion combination is identified by analyzing local autocorrelation functions of non-flat component of trial restored results. Experimental examples of simulated and real world blurred images are given to demonstrate a promising performance of the proposed scheme.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.6 pp.1416-1425
- Publication Date
- 2008/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.6.1416
- Type of Manuscript
- Special Section PAPER (Special Section on Image Media Quality)
- Category
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Karn PATANUKHOM, Akinori NISHIHARA, "Identification of Piecewise Linear Uniform Motion Blur" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 6, pp. 1416-1425, June 2008, doi: 10.1093/ietfec/e91-a.6.1416.
Abstract: A motion blur identification scheme is proposed for non-linear uniform motion blurs approximated by piecewise linear models which consist of more than one linear motion component. The proposed scheme includes three modules that are a motion direction estimator, a motion length estimator and a motion combination selector. In order to identify the motion directions, the proposed scheme is based on a trial restoration by using directional forward ramp motion blurs along different directions and an analysis of directional information via frequency domain by using a Radon transform. Autocorrelation functions of image derivatives along several directions are employed for estimation of the motion lengths. A proper motion combination is identified by analyzing local autocorrelation functions of non-flat component of trial restored results. Experimental examples of simulated and real world blurred images are given to demonstrate a promising performance of the proposed scheme.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.6.1416/_p
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@ARTICLE{e91-a_6_1416,
author={Karn PATANUKHOM, Akinori NISHIHARA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Identification of Piecewise Linear Uniform Motion Blur},
year={2008},
volume={E91-A},
number={6},
pages={1416-1425},
abstract={A motion blur identification scheme is proposed for non-linear uniform motion blurs approximated by piecewise linear models which consist of more than one linear motion component. The proposed scheme includes three modules that are a motion direction estimator, a motion length estimator and a motion combination selector. In order to identify the motion directions, the proposed scheme is based on a trial restoration by using directional forward ramp motion blurs along different directions and an analysis of directional information via frequency domain by using a Radon transform. Autocorrelation functions of image derivatives along several directions are employed for estimation of the motion lengths. A proper motion combination is identified by analyzing local autocorrelation functions of non-flat component of trial restored results. Experimental examples of simulated and real world blurred images are given to demonstrate a promising performance of the proposed scheme.},
keywords={},
doi={10.1093/ietfec/e91-a.6.1416},
ISSN={1745-1337},
month={June},}
Copy
TY - JOUR
TI - Identification of Piecewise Linear Uniform Motion Blur
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1416
EP - 1425
AU - Karn PATANUKHOM
AU - Akinori NISHIHARA
PY - 2008
DO - 10.1093/ietfec/e91-a.6.1416
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2008
AB - A motion blur identification scheme is proposed for non-linear uniform motion blurs approximated by piecewise linear models which consist of more than one linear motion component. The proposed scheme includes three modules that are a motion direction estimator, a motion length estimator and a motion combination selector. In order to identify the motion directions, the proposed scheme is based on a trial restoration by using directional forward ramp motion blurs along different directions and an analysis of directional information via frequency domain by using a Radon transform. Autocorrelation functions of image derivatives along several directions are employed for estimation of the motion lengths. A proper motion combination is identified by analyzing local autocorrelation functions of non-flat component of trial restored results. Experimental examples of simulated and real world blurred images are given to demonstrate a promising performance of the proposed scheme.
ER -
English
