Dual-constraint burst image denoising method
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000353.pdf
Reference25 articles.
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3. Buades A, Coll B, Morel JM, 2005. A non-local algorithm for image denoising. IEEE Computer Society Conf on Computer Vision and Pattern Recognition, p.60–65. https://doi.org/10.1109/CVPR.2005.38
4. Burger HC, Schuler CJ, Harmeling S, 2012. Image denoising: can plain neural networks compete with BM3D? IEEE Conf on Computer Vision and Pattern Recognition, p.2392–2399. https://doi.org/10.1109/CVPR.2012.6247952
5. Chambolle A, 2004. An algorithm for total variation minimization and applications. J Math Imag Vis, 20(1–2):89–97. https://doi.org/10.1023/B:JMIV.0000011325.36760.1e
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