A method of total variation to remove the mixed Poisson-Gaussian noise-Reference-Cited by-同舟云学术

A method of total variation to remove the mixed Poisson-Gaussian noise

Published:2016-04 Issue:2 Volume:26 Page:285-293
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Thanh D. N. H.,Dvoenko S. D.

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/S1054661816020231.pdf

Reference28 articles.

1. K. Chen, “Introduction to variational image processing models and application,” Int. J. Comput. Math. 90 1, 1–8 (2013).

2. L. I. Rudin, S. Osher, and E. Fatemi, “Nonlinear total variation based noise removal algorithms,” Phys. D 60, 259–268 (1992).

3. M. P. Tran, R. Peteri, and M. Bergounioux, “Denoising 3D medical images using a second order variational model and wavelet shrinkage,” Image Anal. Recogn. 7325, 138–145 (2012).

4. J. Xu, X. Feng, and Y. Hao, “A coupled variational model for image denoising using a duality strategy and split Bregman,” Multidimensional Syst. Signal Processing 25, 83–94 (2014).

5. Y. Zhu, “Noise reduction with low dose CT data based on a modified ROF model,” Opt. Express 20 16, 17987–18004 (2012).

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