First-order derivative-based super-resolution-Reference-Cited by-同舟云学术

First-order derivative-based super-resolution

Published:2016-03-05 Issue:1 Volume:11 Page:1-8
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Haris Muhammad,Widyanto M. Rahmat,Nobuhara Hajime

Funder

Core Research for Evolutional Science and Technology, Japan Science and Technology Agency

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s11760-016-0880-y.pdf

Reference17 articles.

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2. Asuni, N., Giachetti, A.: Accuracy improvements and artifacts removal in edge based image interpolation. VISAPP (1)’08, pp. 58–65 (2008)

3. Liu, C., Sun, D.: A bayesian approach to adaptive video super resolution. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011, pp. 209–216. IEEE, (2011)

4. Takeda, H., Farsiu, S., Milanfar, P.: Kernel regression for image processing and reconstruction. IEEE Trans. Image Process. 16(2), 349–366 (2007)

5. Takeda, H., Milanfar, P., Protter, M., Elad, M.: Super-resolution without explicit subpixel motion estimation. IEEE Trans. Image Process. 18(9), 1958–1975 (2009)

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