Thürck, Daniel ; Kuijper, Arjan (2013)
Nonlinear Diffusion at your Fingertips: Theory and Mobile Applications.
ISPA 2013.
doi: 10.1109/ISPA.2013.6703847
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Through affordable smartphones and lower costs for mobile internet access, mobile communication by moving and still pictures has become a commonplace. However, while most phones offer a camera for taking pictures, the image processing capabilities are relatively sparse. The challenges that arise with real-time image handling are not yet countered by complex techniques. Because of the limited computation power, simple algorithms were used. In this paper, we will show that the technique of nonlinear diffusion can be used in (near) real-time on most smartphone's GPUs if being implemented in an OpenGL ES shader. The presented implementation is then used for several image-related tasks, namely denoising, deblocking and upscaling directly on the phone. As the performance evaluation shows, anisotropic diffusion offers a nice framework for complex mobile image handling in several arising problem areas.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Thürck, Daniel ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Nonlinear Diffusion at your Fingertips: Theory and Mobile Applications |
| Sprache: | Englisch |
| Publikationsjahr: | 2013 |
| Veranstaltungstitel: | ISPA 2013 |
| DOI: | 10.1109/ISPA.2013.6703847 |
| Kurzbeschreibung (Abstract): | Through affordable smartphones and lower costs for mobile internet access, mobile communication by moving and still pictures has become a commonplace. However, while most phones offer a camera for taking pictures, the image processing capabilities are relatively sparse. The challenges that arise with real-time image handling are not yet countered by complex techniques. Because of the limited computation power, simple algorithms were used. In this paper, we will show that the technique of nonlinear diffusion can be used in (near) real-time on most smartphone's GPUs if being implemented in an OpenGL ES shader. The presented implementation is then used for several image-related tasks, namely denoising, deblocking and upscaling directly on the phone. As the performance evaluation shows, anisotropic diffusion offers a nice framework for complex mobile image handling in several arising problem areas. |
| Freie Schlagworte: | Partial differential equations, Image processing, Mobile applications, General Purpose Computation on Graphics Processing Unit (GPGPU) |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 10 Dez 2021 07:23 |
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