Single Image Super-Resolution using Transformed Self-Exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja
In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015

Project webpage: https://sites.google.com/site/jbhuang0604/publications/struct_sr

Contact: Jia-Bin Huang (jbhuang1@illinois.edu)


=== HR === 
- High-resolution images. All images were cropped so that each dimension is a multiplication of the super-resolution factor.
This avoids the misalignment problem in the quantitative comparison.

=== LR === 
- Low-resolution test image
- Generated with bicubic kernel with downsampling

=== bicubic === 
- Bicubic interpolation

=== nearest ===  
- nearest interpolation

=== Our ===
- Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja,
Single Image Super-Resolution using Transformed Self-Exemplars. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015).

=== A+ === 
- R. Timofte, V. De Smet, and L. Van Gool, A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution. In Asian Conference on Computer Vision (ACCV 2014)
- Code available in http://www.vision.ee.ethz.ch/~timofter/ACCV2014_ID820_SUPPLEMENTARY/index.html

=== Abhishek === 
- Abhishek Singh and Narendra Ahuja, Super-Resolution Using Sub-Band Self-Similarity. In
Asian Conference on Computer Vision (ACCV 2014)
- Results provided by the authors

=== Glasner === 
- Daniel Glasner, Shai Bagon, Michal Irani.
Super-Resolution From a Single Image, In International Conference on Computer Vision (ICCV 2009)
- No public implementation available. Results are generated by our own implementation

=== Kim ===  
- K. I. Kim and Y. Kwon, “Single-image super-resolution using sparse regression and natural image prior”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 6, pp. 1127-1133, 2010.
- Code available in https://people.mpi-inf.mpg.de/~kkim/supres/supres.htm

=== ScSR ===
- Jianchao Yang, John Wright, Thomas Huang, and Yi Ma. Image super-resolution via sparse representation. IEEE Transactions on Image Processing, Vol 19, Issue 11, pp2861-2873, 2010
- Code availale in http://www.ifp.illinois.edu/~jyang29/ScSR.htm

=== SRCNN ===
- Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang. Learning a Deep Convolutional Network for Image Super-Resolution, in European Conference on Computer Vision (ECCV 2014)
- Code available in http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html