A Hybrid Single Image Super-Resolution Technique Using Fractal Interpolation and Convolutional Neural Network
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1134/S1054661821010144.pdf
Reference19 articles.
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2. G. Pandey and U. Ghanekar, “Classification of priors and regularization techniques appurtenant to single image super-resolution,” Visual Comput. 36, 1291–1304 (2020). https://doi.org/10.1007/s00371-019-01729-z
3. H. Chang, D. Y. Yeung, and Y. Xiong, “Super-resolution through neighbor embedding,” in Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004) (2004). https://doi.org/10.1109/cvpr.2004.1315043
4. G. Pandey and U. Ghanekar, “Variance based external dictionary for improved single image super-resolution,” Pattern Recognit. Image Anal. 30 (1), 70–75 (2020). https://doi.org/10.1134/s1054661820010101
5. J. Yang, J. Wright, T. S. Huang, and Y. Ma, “Image super-resolution via sparse representation,” IEEE Trans. Image Process. 19 (11), 2861–2873 (2010). https://doi.org/10.1109/tip.2010.2050625
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