Simulation of Digital Image Filtering and Denoising Based on Fractional Partial Differential
Due to various factors,digital images may exhibit varying degrees of noise spots,leading to a decrease in image quality and clarity,as well as an increase in the difficulty of image analysis,detection,and segmentation.Therefore,this paper put forward an adaptive filtering algorithm for image denoising based on partial differential equa-tions.Firstly,we distinguished between noisy and non-noise points in images,detected edge features of image,thus improving the ability of algorithm to preserve edges.Secondly,we constructed a model of fractional partial differential equation.According to this model,we achieved the adaptive filtering for image denoising.Finally,we chose the image containing different noise for testing the proposed method.Simulation results show that the proposed method can effec-tively remove redundant noise in images and significantly improves the overall quality of images.