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Adaptive total variation regularization based scheme for Poisson noise removal
Author(s) -
Zhou Weifeng,
Li Qingguo
Publication year - 2013
Publication title -
mathematical methods in the applied sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 65
eISSN - 1099-1476
pISSN - 0170-4214
DOI - 10.1002/mma.2587
Subject(s) - total variation denoising , regularization (linguistics) , mathematics , image denoising , poisson distribution , noise reduction , variation (astronomy) , noise (video) , enhanced data rates for gsm evolution , algorithm , scheme (mathematics) , mathematical optimization , mathematical analysis , image (mathematics) , computer science , statistics , artificial intelligence , physics , astrophysics
To better preserve the edge features, this paper investigates an adaptive total variation regularization based variational model for removing Poisson noise. This edge‐preserving scheme comprises a spatially adaptive diffusivity coefficient, which adjusts the diffusion strength automatically. Compared with the classical total variation based one, numerical simulations distinctly indicate the superiority of our proposed strategy in maintaining the small details while denoising Poissonian image. Copyright © 2012 John Wiley & Sons, Ltd.