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

Damasevicius, Robertas and Zhou, Wei and Hao, Xingxing and Wang, Kaidi and Zhang, Zhenyang and Yu, Yongxiang and Su, Haonan and Li, Kang and Cao, Xin and Kuijper, Arjan (2020):
Improved estimation of motion blur parameters for restoration from a single image.
In: PLOS ONE, 15 (9), pp. 1-21. ISSN 1932-6203,
DOI: 10.1371/journal.pone.0238259,
[Article]

Abstract

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 angleestimation scheme with our proposed difference value vs angle curve. Subsequently, theauto-correlation matrix is employed to estimate the blur angle by measuring the distancebetween the conjugated-correlated troughs. Finally, we evaluate the accuracy, robustnessand time efficiency of our proposed method with the existing algorithms on the public benchmarks and the natural real motion blurred images. The experimental results demonstratethat the proposed PSF estimation scheme not only could obtain a higher accuracy for theblur angle and blur length, but also demonstrate stronger robustness and higher time efficiency under different circumstances.

Item Type: Article
Erschienen: 2020
Creators: Damasevicius, Robertas and Zhou, Wei and Hao, Xingxing and Wang, Kaidi and Zhang, Zhenyang and Yu, Yongxiang and Su, Haonan and Li, Kang and Cao, Xin and Kuijper, Arjan
Title: Improved estimation of motion blur parameters for restoration from a single image
Language: English
Abstract:

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 angleestimation scheme with our proposed difference value vs angle curve. Subsequently, theauto-correlation matrix is employed to estimate the blur angle by measuring the distancebetween the conjugated-correlated troughs. Finally, we evaluate the accuracy, robustnessand time efficiency of our proposed method with the existing algorithms on the public benchmarks and the natural real motion blurred images. The experimental results demonstratethat the proposed PSF estimation scheme not only could obtain a higher accuracy for theblur angle and blur length, but also demonstrate stronger robustness and higher time efficiency under different circumstances.

Journal or Publication Title: PLOS ONE
Journal volume: 15
Number: 9
Uncontrolled Keywords: Image restoration, Image deblurring, Frequency domain
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Date Deposited: 22 Sep 2020 13:32
DOI: 10.1371/journal.pone.0238259
Official URL: https://doi.org/10.1371/journal.pone.0238259
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