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author:

Liu, X.Y. (Liu, X.Y..) [1] | Lai, C.-H. (Lai, C.-H..) [2] | Pericleous, K.A. (Pericleous, K.A..) [3] | Wang, M.Q. (Wang, M.Q..) [4]

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Scopus

Abstract:

The anisotropic diffusion model plays an important role on image denoising and some other applications, such as image enhancement, image inpainting. In this paper, drawbacks of the anisotropic diffusion model and the fourth-order PDE model are discussed and examined. In order to compensate these drawbacks, two modified diffusion models are proposed and numerical results show that the modified models produce better results by checking against the PSNR and two other metrics.

Keyword:

Community:

  • [ 1 ] [Liu, X.Y.]School of Computing and Mathematical Sciences, University of Greenwich, United Kingdom
  • [ 2 ] [Lai, C.-H.]School of Computing and Mathematical Sciences, University of Greenwich, United Kingdom
  • [ 3 ] [Pericleous, K.A.]School of Computing and Mathematical Sciences, University of Greenwich, United Kingdom
  • [ 4 ] [Wang, M.Q.]College of Mathematics and Computer Science, Fuzhou University, China

Reprint 's Address:

  • [Liu, X.Y.]School of Computing and Mathematical Sciences, University of GreenwichUnited Kingdom

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Source :

Journal of Algorithms and Computational Technology

ISSN: 1748-3018

Year: 2012

Issue: 1

Volume: 6

Page: 35-57

0 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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