Method of Image Denoising in Generalized Phase Space with Improved Indicator of Spatial Resolution

Author:

Kostenko P. Yu.ORCID,Slobodyanuk V. V.ORCID,Kostenko I. L.ORCID

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering

Reference11 articles.

1. A. Buades, B. Coll, J.-M. Morel, “A non-local algorithm for image denoising,” Proc. of 2005 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, CVPR’05, 20–25 June 2005, San Diego, USA (IEEE, 2005), Vol. 2, pp. 60–65. DOI: https://doi.org/10.1109/CVPR.2005.38 .

2. M. A. Soto, J. A. Ramirez, L. Thevenaz, “Optimizing image denoising for long-range Brillouin distributed fiber sensing,” J. Lightwave Technology 36, No. 4, 1168 (Feb. 2018). DOI: https://doi.org/10.1109/JLT.2017.2750398 .

3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, 2nd ed. (Prentice Hall, 2002).

4. I. S. Gruzman, V. S. Kirichuk, Digital Processing of Images in Information Systems [in Russian] (NGTU, Novosibirsk, 2002).

5. B. Efron, Nonconventional Methods of Multivariate Statistical Analysis [in Russian, translation from English of articles collection] (Finansy i Statistika, Moscow, 1988).

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