Improved estimation of motion blur parameters for restoration from a single image.

This paper presents an improved method to estimate the blur parameters of motion deblurring algorithm for single image restoration based on the point spread function (PSF) in frequency spectrum. We then introduce a modification to the Radon transform in the blur angle estimation scheme with our prop...

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Main Authors: Wei Zhou, Xingxing Hao, Kaidi Wang, Zhenyang Zhang, Yongxiang Yu, Haonan Su, Kang Li, Xin Cao, Arjan Kuijper
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0238259
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author Wei Zhou
Xingxing Hao
Kaidi Wang
Zhenyang Zhang
Yongxiang Yu
Haonan Su
Kang Li
Xin Cao
Arjan Kuijper
author_facet Wei Zhou
Xingxing Hao
Kaidi Wang
Zhenyang Zhang
Yongxiang Yu
Haonan Su
Kang Li
Xin Cao
Arjan Kuijper
author_sort Wei Zhou
collection DOAJ
description This paper presents an improved method to estimate the blur parameters of motion deblurring algorithm for single image restoration based on the point spread function (PSF) in frequency spectrum. We then introduce a modification to the Radon transform in the blur angle estimation scheme with our proposed difference value vs angle curve. Subsequently, the auto-correlation matrix is employed to estimate the blur angle by measuring the distance between the conjugated-correlated troughs. Finally, we evaluate the accuracy, robustness and time efficiency of our proposed method with the existing algorithms on the public benchmarks and the natural real motion blurred images. The experimental results demonstrate that the proposed PSF estimation scheme not only could obtain a higher accuracy for the blur angle and blur length, but also demonstrate stronger robustness and higher time efficiency under different circumstances.
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spelling doaj.art-c31d959c79b2463bac021b6ec1b518b92022-12-21T23:09:18ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01159e023825910.1371/journal.pone.0238259Improved estimation of motion blur parameters for restoration from a single image.Wei ZhouXingxing HaoKaidi WangZhenyang ZhangYongxiang YuHaonan SuKang LiXin CaoArjan KuijperThis paper presents an improved method to estimate the blur parameters of motion deblurring algorithm for single image restoration based on the point spread function (PSF) in frequency spectrum. We then introduce a modification to the Radon transform in the blur angle estimation scheme with our proposed difference value vs angle curve. Subsequently, the auto-correlation matrix is employed to estimate the blur angle by measuring the distance between the conjugated-correlated troughs. Finally, we evaluate the accuracy, robustness and time efficiency of our proposed method with the existing algorithms on the public benchmarks and the natural real motion blurred images. The experimental results demonstrate that the proposed PSF estimation scheme not only could obtain a higher accuracy for the blur angle and blur length, but also demonstrate stronger robustness and higher time efficiency under different circumstances.https://doi.org/10.1371/journal.pone.0238259
spellingShingle Wei Zhou
Xingxing Hao
Kaidi Wang
Zhenyang Zhang
Yongxiang Yu
Haonan Su
Kang Li
Xin Cao
Arjan Kuijper
Improved estimation of motion blur parameters for restoration from a single image.
PLoS ONE
title Improved estimation of motion blur parameters for restoration from a single image.
title_full Improved estimation of motion blur parameters for restoration from a single image.
title_fullStr Improved estimation of motion blur parameters for restoration from a single image.
title_full_unstemmed Improved estimation of motion blur parameters for restoration from a single image.
title_short Improved estimation of motion blur parameters for restoration from a single image.
title_sort improved estimation of motion blur parameters for restoration from a single image
url https://doi.org/10.1371/journal.pone.0238259
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