Browse > Article
http://dx.doi.org/10.7471/ikeee.2018.22.2.491

Mixed-Norm Patch Similarity Search for Self-Example-based Single Image Super-Resolution  

Oh, Jong-Geun (Dept. of Electronics and information Engineering, Soongsil University)
Hong, Min-Cheol (Dept. of Electronics and information Engineering, Soongsil University)
Publication Information
Journal of IKEEE / v.22, no.2, 2018 , pp. 491-494 More about this Journal
Abstract
This paper presents a similarity search method based on mixed norm for enhancing self-example-based single image super-resolution. In order to incorporate the local statistical characteristics of the patches into the super-resolution image reconstruction, we propose a method to determine the order of the norm according to the patch inclination and use it as a similarity search between patches. Experimental results demonstrate that the proposed similarity search method has the capability to improve the performance of existing search method.
Keywords
Super-resolution; mixed norm; self-example; similarity search; local statistics;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. C. Park, M. K. Park, and M. G. Kang, "Super-resolution image reconstruction: a technical overview," IEEE Sig. Process. Mag., vol. 20, no. 3, pp. 21-36, 2007. DOI: 10.1109/MSP.2003.1203207
2 M. Bevilacqua, A. Roumy, C. Guillemot, and M.-L. Alberi Morel, "Single-image super-resolution via linear mapping of interpolated self-examples," IEEE Trans. Image Process., vol. 23, no. 12, pp. 5334-5347, 2014. DOI: 10.1109/TIP.2014.2364116   DOI
3 D. Glasner, S. Bagon, and M. Irani, "Super-resolution from a single image," IEEE Int. Conf. Computer Vision(ICCV), pp. 349-356, 2009 . DOI: 10.1109/ICCV.2009.5459271
4 G. Polatkan, M. Zhou, L. Carin, D. Blei, and I. Daubechies, "A bayesian nonparametric approach to image super-resolution," IEEE Trans. Patt. Anal. and Mach. Intel., vol. 37, no. 2, pp. 346-358, 2015. DOI: 10.1109/TPAMI.2014.2321404   DOI