Anisotropic equation based on fractional diffusion tensor for image noise removal

被引:7
作者
Charkaoui, Abderrahim [1 ]
Ben-loghfyry, Anouar [2 ]
机构
[1] Hassan First Univ, Higher Sch Educ & Training Berrechid ESEFB, Interdisciplinary Res Lab Sci Educ & Training, Casablanca, Morocco
[2] Hassan II Univ, LMCMAN, FST Mohammedia, Casablanca, Morocco
关键词
denoising images; fractional derivative; matrix diffusion tensor; Riemann-Liouville derivative; EDGE-DETECTION; MODEL; ENCRYPTION; ALGORITHM; SPACE;
D O I
10.1002/mma.10085
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we propose an anisotropic diffusion equation based on fractional-order tensor diffusion applied on noisy images. We start by investigating the existence and uniqueness results of the proposed model. We also provide a discretization scheme based on the finite difference method. In order to prove the efficacy of our proposed approach, we deliver some simulations, which show robustness and remarkable results against noise while preserving edges and corners, compared to some well-known models in literature. For a fair comparison, we manage to obtain the optimal parameters of every model thanks to PSNR and SSIM. We demonstrate the robustness efficacy of our model against high level of noise.
引用
收藏
页码:9600 / 9620
页数:21
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