Subjective Assessment about Super Resolution Image Resolution

Authors: Seiichi Gohshi, Hiroyuki Sekiguchi, Yoshiyasu Shimizu, Takeshi Ikenaga

Abstract:

Super resolution (SR) technologies are now being applied to video to improve resolution. Some TV sets are now equipped with SR functions. However, it is not known if super resolution image reconstruction (SRR) for TV really works or not. Super resolution with non-linear signal processing (SRNL) has recently been proposed. SRR and SRNL are the only methods for processing video signals in real time. The results from subjective assessments of SSR and SRNL are described in this paper. SRR video was produced in simulations with quarter precision motion vectors and 100 iterations. These are ideal conditions for SRR. We found that the image quality of SRNL is better than that of SRR even though SRR was processed under ideal conditions.

Keywords: Super Resolution Image Reconstruction, Super Resolution with Non-Linear Signal Processing, Subjective Assessment, Image Quality

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075022

References:

[1] SubhasisChaudhuri,"Super-Resolution Imaging", Kluwer Academic Publishers, ISBN978-0-7923-7471-8. Boston/Dordrecht/LondonFarusi
[2] A. Katsaggelos, R. Molina, and J. Mateos, "SuperResolution of Images and Video"}, Synthesis Lectures on Image, VideoMultimedia Processing, Morgan Claypool Publishers, May 2010. LaVergne. TN USA.
[3] S. Cheol, M. K. Park, and M. G. Kang, "Super-Resolution Image Reconstruction: A Technical Overview",IEEE Signal Processing Magazine, 1053-5888/03, May, 2003.
[4] S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, "Fast and Robust Multi-frame Super-resolution", IEEE Transactions on Image Processing , vol. 13, no. 10, pp. 1327-1344, October 2004
[5] D. Glasner, S. Bagon, and M. Irani, "Super-Resolution from a Single Image", International Conference on Computer Vision (ICCV), October 2009.
[6] http://www.toshiba.co.jp/regza/detail/superresolution/resolution.html(in Japanese).
[7] S. Gohshi, "A new signal processing for video" , MMSys-12, ACM, Feb. 2012, ISBN: 978-1-4503-1131-1.
[8] T. Ida et al., "Improving resolution of video", Patent ID:JP.4116649, http:// www.ipdl.inpit.go.jp/homepg_e.ipdl (in Japanese).
[9] N. Matsumoto and T. Ida, "A Study on One Frame Reconstruction-based Super-resolution Using Image Segmentation", IEICE Technical Report \relax, SIP2008-6,IE2008-6 (2008-04) (in Japanese).
[10] G.Yang, and F. Yu, "Parabolic Interpolation with adaptive error compensation", Proceedings of the Second International Symposium on Networking and Network Security (ISNNS -10), Jinggangshan, P. R. China, 2?4, April, 2010, pp. 267-270 :ISBN978-952-5786-09-1.
[11] M.F.Barnsley,"Fractals Everywhere", Morgan Kaufmann, ISBN 0-12-079069-6. Harcourt Place, 32 Jamestown Road, London NW17BY. UK.
[12] ITE Test Sequence ver.1, http://www.nes.or.jp/gaiyo/pdf/ite_ hyoujundouga_sample.pdf