Noisy practical facial super-resolution method via deformable constrained model with small dataset
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-08277-7.pdf
Reference33 articles.
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3. Chang H, Yeung DY, Xiong Y (2004) Super-resolution through neighbor embedding. Comput Vis Pattern Recogn 1:275–282
4. Chen L, Hu R, Jiang J, Han Z (2014) Efficient learning based face hallucination approach via facial standard deviation prior. In: IEEE International Symposium on Circuits and Systems, pp 2057–2060
5. Chen L, Hu R, Liang C, Li Q, Han Z (2017) A novel face super resolution approach for noisy images using contour feature and standard deviation prior. Multimed Tool Appl 76(2):2467–2493
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1. Multi-scale generative adversarial network for image super-resolution;Soft Computing;2022-02-22
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