Fast Search of a Similar Patch for Self-Similarity Based Image Super Resolution-Reference-Cited by-同舟云学术

Fast Search of a Similar Patch for Self-Similarity Based Image Super Resolution

Published:2016 Issue:8 Volume:E99.D Page:2194-2198
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

YOO Jun-Sang¹,CHOI Ji-Hoon¹,CHOI Kang-Sun²,LEE Dae-Yeol³,KIM Hui-Yong³,KIM Jong-Ok¹

Affiliation:

1. School of Electrical Engineering, Korea University

2. School of Electrical, Electronics, and Communication Engineering, Koreatech

3. Realistic Broadcasting Media Research Department, Broadcasting & Telecommunication Media Research Laboratory, Electronics and Telecommunications Research Institute (ETRI)

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E99.D/8/E99.D_2016EDL8049/_pdf

Reference8 articles.

1. [1] N. Suetake, M. Sakano, and E. Uchino, “Image super-resolution based on local self-similiarity,” Optical Review, vol.15, no.1, pp.26-30, March 2008.

2. [2] D. Glasner, S. Bagon, and M. Irani, “Super-resolution from a single image,” IEEE Conf. on Computer Vision, pp.349-356, Oct. 2009.

3. [3] G. Freeman and R. Fattal, “Image and video upscaling from local self-examples,” ACM Trans. Graphics, vol.30, no.12, pp.1-11, April 2011.

4. [4] S.-J. Park, O.-Y. Lee, and J.-O. Kim, “Self-similarity based image super-resolution on frequency domain,” Proc. of APSIPA ASC 2014, pp.1-4, Nov. 2013.

5. [5] J.-H. Jun, J.-H. Choi, and J.-O. Kim, “Middle-frequency based refinement for image super-resolution,” IEICE Trans. Inf. & Syst., vol.E99-D, no.1, pp.300-304, Jan. 2016.

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