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

Sandeep Kanumuri; Onur G. Guleryuz; M. Reha Civanlar

doi:10.1117/12.740199

8 October 2007 Fast super-resolution reconstructions of mobile video using warped transforms and adaptive thresholding

Sandeep Kanumuri, Onur G. Guleryuz, M. Reha Civanlar

Proceedings Volume 6696, Applications of Digital Image Processing XXX; 66960T (2007) https://doi.org/10.1117/12.740199
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

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.

Citation Download Citation

Sandeep Kanumuri, Onur G. Guleryuz, and M. Reha Civanlar "Fast super-resolution reconstructions of mobile video using warped transforms and adaptive thresholding", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960T (8 October 2007); https://doi.org/10.1117/12.740199

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