On a modified diffusion model for noise removal
Liu, X.Y., Lai, C.-H. ORCID: 0000-0002-7558-6398, Pericleous, K.A. ORCID: 0000-0002-7426-9999 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:https://doi.org/10.1260/1748-3018.6.1.35)
Full text not available from this repository.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.
Item Type: | Article |
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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 |
Faculty / School / Research Centre / Research Group: | Faculty of Liberal Arts & Sciences |
Related URLs: | |
Last Modified: | 02 Mar 2019 15:52 |
URI: | http://gala.gre.ac.uk/id/eprint/8184 |
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