Bibliograph. Daten | Kraus, M.; Eissele, M.; Strengert, M.: GPU-Based Edge Directed Image Interpolation. In: Image Analysis (Proceedings of SCIA 2007). Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme). Lecture Notes in Computer Science, S. 532-541, deutsch. Springer-Verlag, Januar 2007. Artikel in Tagungsband (Konferenz-Beitrag).
|
CR-Klassif. | I.3 (Computer Graphics)
|
Kurzfassung | The rendering of lower resolution image data on higher resolution displays has become a very common task, in particular because of the increasing popularity of webcams, camera phones, and low-bandwidth video streaming. Thus, there is a strong demand for real-time, highquality image magnification. In this work, we suggest to exploit the high performance of programmable graphics processing units (GPUs) for an adaptive image magnification method. To this end, we propose a GPUfriendly algorithm for image up-sampling by edge-directed image interpolation, which avoids ringing artifacts, excessive blurring, and staircasing of oblique edges. At the same time it features gray-scale invariance, is applicable to color images, and allows for real-time processing of full-screen images on todayôōųs GPUs.
|
Abteilung(en) | Universität Stuttgart, Institut für Visualisierung und Interaktive Systeme, Visualisierung und Interaktive Systeme
|
Projekt(e) | SFB-627, C5 (Universität Stuttgart, Institut für Visualisierung und Interaktive Systeme, Visualisierung und Interaktive Systeme)
|
Eingabedatum | 29. Oktober 2009 |
---|