Image denoising model based on improved fractional calculus mathematical equation

• Autores: Kai Li, Jinke Tang
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 655-660
• Idioma: inglés
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• Resumen

  • Aiming at the problems of image edge blur and detail loss in most image denoising models, an image denoisingmodel based on improved fractional calculus is proposed. Through the classification of image noise, the integer order PDE model is discussed. Based on the mathematical theory of fractional calculus, the fractional PDEmodel is discussed. The model is improved by combining texture detection operator, gray value detectionoperator, smoothing factor and fast algorithm. The simulation experiment of the model is carried out based onMATLAB simulation platform. The results show that the improved model is significantly better than other comparison models in image denoising effect, and the operation efficiency is higher.