Multi-Image Super-Resolution Using a Dual Weighting Scheme Based on Voronoi Tessellation

Bätz M, Eichenseer A, Kaup A (2016)


Publication Language: English

Publication Type: Conference contribution

Publication year: 2016

Pages Range: 2822-2826

Event location: Phoenix, AZ US

ISBN: 978-1-4673-9961-6

DOI: 10.1109/ICIP.2016.7532874

Abstract

Increasing spatial resolution is often required in many applications such as entertainment systems or video surveillance. Apart from using higher resolution sensors, it is also possible to apply superresolution algorithms to realize an increased resolution. Those methods can be divided into approaches that rely on only a single low resolution image or on multiple low resolution video frames. While incorporating more frames into the super-resolution is beneficial for the resolution enhancement in principle, it is also likely to introduce more artifacts from inaccurate motion estimation. To alleviate this problem, various weightings have been proposed in the literature. In this paper, we propose an extended dual weighting scheme for an interpolation-based super-resolution method based on Voronoi tessellation that relies on both a motion confidence weight and a distance weight. Compared to non-weighted super-resolution, the proposed method yields an average gain in luminance PSNR of up to 1.29 dB and 0.61 dB for upscaling factors of 2 and 4, respectively. Visual comparisons substantiate the objective results.

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How to cite

APA:

Bätz, M., Eichenseer, A., & Kaup, A. (2016). Multi-Image Super-Resolution Using a Dual Weighting Scheme Based on Voronoi Tessellation. In Proceedings of the IEEE International Conference on Image Processing (ICIP) (pp. 2822-2826). Phoenix, AZ, US.

MLA:

Bätz, Michel, Andrea Eichenseer, and André Kaup. "Multi-Image Super-Resolution Using a Dual Weighting Scheme Based on Voronoi Tessellation." Proceedings of the IEEE International Conference on Image Processing (ICIP), Phoenix, AZ 2016. 2822-2826.

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