Damasevicius, Robertas ; Zhou, Wei ; Hao, Xingxing ; Wang, Kaidi ; Zhang, Zhenyang ; Yu, Yongxiang ; Su, Haonan ; Li, Kang ; Cao, Xin ; Kuijper, Arjan (2020)
Improved estimation of motion blur parameters for restoration from a single image.
In: PLOS ONE, 15 (9)
doi: 10.1371/journal.pone.0238259
Artikel, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Damasevicius, Robertas ; Zhou, Wei ; Hao, Xingxing ; Wang, Kaidi ; Zhang, Zhenyang ; Yu, Yongxiang ; Su, Haonan ; Li, Kang ; Cao, Xin ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Improved estimation of motion blur parameters for restoration from a single image |
| Sprache: | Englisch |
| Publikationsjahr: | 1 September 2020 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | PLOS ONE |
| Jahrgang/Volume einer Zeitschrift: | 15 |
| (Heft-)Nummer: | 9 |
| DOI: | 10.1371/journal.pone.0238259 |
| URL / URN: | https://doi.org/10.1371/journal.pone.0238259 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Image restoration, Image deblurring, Frequency domain |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 22 Sep 2020 13:32 |
| Letzte Änderung: | 22 Sep 2020 13:32 |
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