Name
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, high-quality 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 GPU-friendly 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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73040-8_54 | SCIA |
Keywords | Field | DocType |
camera phone,real-time processing,adaptive image magnification method,gpu-friendly algorithm,edge-directed image interpolation,gpu-based edge-directed image interpolation,high-quality image magnification,common task,full-screen image,higher resolution display,lower resolution image data,real time processing,color image,image interpolation,scale invariance,real time | Computer vision,Video post-processing,Computer graphics (images),Feature detection (computer vision),Computer science,Image texture,Image processing,Demosaicing,Artificial intelligence,Image restoration,Digital image processing,Image scaling | Conference |
Volume | ISSN | Citations |
4522 | 0302-9743 | 9 |
PageRank | References | Authors |
0.71 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Kraus | 1 | 269 | 15.90 |
| Mike Eissele | 2 | 31 | 4.09 |
| Magnus Strengert | 3 | 221 | 13.43 |