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Rapid, Detail-Preserving Image Downscaling

Weber, Nicolas ; Waechter, Michael ; Amend, Sandra C. ; Guthe, Stefan ; Goesele, Michael (2016)
Rapid, Detail-Preserving Image Downscaling.
In: ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 35 (6)
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Image downscaling is arguably the most frequently used image processing tool. We present an algorithm based on convolutional filters where input pixels contribute more to the output image the more their color deviates from their local neighborhood, which preserves visually important details. In a user study we verify that users prefer our results over related work. Our efficient GPU implementation works in real-time when downscaling images from 24M to 70k pixels. Further, we demonstrate empirically that our method can be successfully applied to videos.

Typ des Eintrags: Artikel
Erschienen: 2016
Autor(en): Weber, Nicolas ; Waechter, Michael ; Amend, Sandra C. ; Guthe, Stefan ; Goesele, Michael
Art des Eintrags: Bibliographie
Titel: Rapid, Detail-Preserving Image Downscaling
Sprache: Englisch
Publikationsjahr: 20 September 2016
Verlag: ACM
Titel der Zeitschrift, Zeitung oder Schriftenreihe: ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia)
Jahrgang/Volume einer Zeitschrift: 35
(Heft-)Nummer: 6
URL / URN: http://sa2016.siggraph.org
Zugehörige Links:
Kurzbeschreibung (Abstract):

Image downscaling is arguably the most frequently used image processing tool. We present an algorithm based on convolutional filters where input pixels contribute more to the output image the more their color deviates from their local neighborhood, which preserves visually important details. In a user study we verify that users prefer our results over related work. Our efficient GPU implementation works in real-time when downscaling images from 24M to 70k pixels. Further, we demonstrate empirically that our method can be successfully applied to videos.

Zusätzliche Informationen:

SIGGRAPH Asia, Macao, December 5-8th, 2016

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphics, Capture and Massively Parallel Computing
Exzellenzinitiative
Exzellenzinitiative > Graduiertenschulen
Exzellenzinitiative > Graduiertenschulen > Graduate School of Computational Engineering (CE)
Hinterlegungsdatum: 21 Sep 2016 11:30
Letzte Änderung: 07 Mai 2024 10:54
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