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Proceedings Paper

Fast super-resolution reconstructions of mobile video using warped transforms and adaptive thresholding
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Paper Abstract

Multimedia services for mobile phones are becoming increasingly popular thanks to capabilities brought about by location awareness, customized programming, interactivity, and portability. With mounting attraction to these services there is desire to seamlessly expand the mobile multimedia experience to stationary environments where high-resolution displays can offer significantly better viewing conditions. In this paper, we propose a fast, high quality super-resolution algorithm that enables high resolution display of low-resolution video. The proposed algorithm, SWAT, accomplishes sparse reconstructions using directionally warped transforms and spatially adaptive thresholding. Comparisons are made with some existing techniques in terms of PSNR and visual quality. Simulation examples show that SWAT significantly outperforms these techniques while staying within a limited computational complexity envelope.

Paper Details

Date Published: 8 October 2007
PDF: 13 pages
Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960T (8 October 2007); doi: 10.1117/12.740199
Show Author Affiliations
Sandeep Kanumuri, DoCoMo Communications Labs. USA, Inc. (United States)
Onur G. Guleryuz, DoCoMo Communications Labs. USA, Inc. (United States)
M. Reha Civanlar, DoCoMo Communications Labs. USA, Inc. (United States)


Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)

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