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

 
: Zhou, Wei; Hao, Xingxing; Wang, Kaidi; Zhang, Zhenyang; Yu, Yongxiang; Su, Haonan; Li, Kang; Cao, Xin; Kuijper, Arjan

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Volltext ()

PLoS one. Online journal 9 (2020), Nr.15, Art. e0238259, 21 S.
http://www.pubmedcentral.nih.gov/tocrender.fcgi?action=archive&journal=440
ISSN: 1932-6203
The Key Research and Development Program of Shaanxi Province
2020KW-068
The National Key Research and Development Program of China
2017YFB1402104
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IGD ()
Lead Topic- Digitized Work; Research Line- Computer vision (CV); Image restoration; Image deblurring; Frequency domain

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.

: http://publica.fraunhofer.de/dokumente/N-602286.html