Abstract | ||
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For many digital image/video processing applications increasing the spatial resolution through modifications in the imaging system is infeasible. Hence post-processing algorithms designed to enhance resolution of the acquired image data prove beneficial. In this paper, we analyze recent work on classification based resolution enhancement and discuss its applicability to low-complexity display systems. In the light of our observations we point out certain short-comings of resolution synthesis and propose a modified training scheme to improve the performance under certain conditions. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/ICIP.2007.4379851 | Image Processing, 2007. ICIP 2007. IEEE International Conference |
Keywords | Field | DocType |
filtering theory,image classification,image enhancement,image resolution,pattern clustering,video signal processing,coupled feature-filter clustering scheme,image classification,image enhancement,image resolution synthesis,low-complexity display system,video processing,Single-frame resolution enhancement,resolution synthesis,scaling | Computer vision,Video processing,Pattern recognition,Computer science,Image processing,Digital image,Sub-pixel resolution,Artificial intelligence,Cluster analysis,Digital image processing,Contextual image classification,Image resolution | Conference |
Volume | ISSN | ISBN |
5 | 1522-4880 E-ISBN : 978-1-4244-1437-6 | 978-1-4244-1437-6 |
Citations | PageRank | References |
2 | 0.43 | 2 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Toygar Akgun | 1 | 90 | 9.39 |
Yucel Altunbasak | 2 | 1507 | 116.78 |