On a modified diffusion model for noise removal
Liu, X.Y., Lai, C.-H., Pericleous, K.A. and Wang, M.Q. (2012) On a modified diffusion model for noise removal. Journal of Algorithms & Computational Technology, 6 (1). pp. 35-58. ISSN 1748-3018 (doi:10.1260/1748-3018.6.1.35)Full text not available from this repository.
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.
|Uncontrolled Keywords:||anisotropic diffusion model, image denoising, image enhancement, image inpainting, fourth-order PDE model|
|Subjects:||Q Science > QA Mathematics|
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
|School / Department / Research Groups:||Faculty of Architecture, Computing & Humanities|
School of Computing & Mathematical Sciences
Faculty of Architecture, Computing & Humanities > School of Computing & Mathematical Sciences
|Last Modified:||14 Jul 2015 13:39|
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