Perona-Malik Model with Diffusion Coefficient Depending on Fractional Gradient via Caputo-Fabrizio Derivative

Autor: Gustavo Asumu Mboro Nchama, Angela Leon Mecias, Mariano Rodriguez Ricard
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Abstract and Applied Analysis, Vol 2020 (2020)
Druh dokumentu: article
ISSN: 1085-3375
1687-0409
DOI: 10.1155/2020/7624829
Popis: The Perona-Malik (PM) model is used successfully in image processing to eliminate noise while preserving edges; however, this model has a major drawback: it tends to make the image look blocky. This work proposes to modify the PM model by introducing the Caputo-Fabrizio fractional gradient inside the diffusivity function. Experiments with natural images show that our model can suppress efficiently the blocky effect. Also, our model has good performance in visual quality, high peak signal-to-noise ratio (PSNR), and lower value of mean absolute error (MAE) and mean square error (MSE).
Databáze: Directory of Open Access Journals
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