Natural image noise removal using non local means and hidden Markov models in stationary wavelet transform domain
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/article/10.1007/s11042-017-5425-z/fulltext.html
Reference27 articles.
1. Ahmed F, Das S (2014) Removal of High-Density Salt-and-Pepper Noise in Images With an Iterative Adaptive Fuzzy Filter Using Alpha-Trimmed Mean. IEEE Trans Fuzzy Syst 22(5):1352–1358
2. Buades A, Coll B, Morel J-M (2005) A non-local algorithm for image denoising. IEEE Conf Comput Vis Pattern Recognit 2:60–65
3. Chen G, Qian S-E (2011) Denoising of hyperspectral imagery using principal component analysis and wavelet shrinkage. IEEE Trans Geosci Remote Sens 49(3):973–980
4. Coupé P, Yger P, Prima S, Hellier P, Kervrann C, Barillot C (2008) An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images. IEEE Trans Med Imaging 27(4):425–441
5. Demir B, Erturk S, Gullu M (2011) Hyperspectral image classification using denoising of intrinsic mode functions. IEEE Geosci Remote Sens Lett 8(2):220–224
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