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 |
| Veranstaltungstitel: | SIGGRAPH Asia |
| Veranstaltungsort: | Macao |
| Veranstaltungsdatum: | December 5-8th, 2016 |
| 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. |
| 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: | 09 Dez 2021 11:45 |
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