Bibliography | Krauß, Martin; Eissele, Mike; Strengert, Magnus: GPU-Based Edge-Directed Image Interpolation. In: In Image Analysis (Proceedings of SCIA 2007). University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems). Lecture Notes in Computer Science; 4522, pp. 532-541, english. Springer-Verlag, November 2007. Article in Proceedings (Conference Paper).
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CR-Schema | I.3.3 (Picture/Image Generation)
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Keywords | Zoom, GPU, HDTV |
Abstract | 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 today’s GPUs.
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Department(s) | University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
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Project(s) | SFB-627, C5 (University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems)
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Entry date | January 18, 2008 |
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