Research On Anisotropic Denoising Model Algorithm Based On PDE

The image denoising algorithm based on partial differential equations is discussed in this paper,the main content is to construct an anisotropic denoising model and a fourth-order partial differential equation denoising model based on adaptive gradient threshold,and the effectiveness and accuracy of the IPM and MYK denoising algorithm are verified through numerical experiments.This paper consists of five parts.In the first chapter,we discuss the research background and significance of the subject,and summarize the relevant knowledge of digital image processing,and introduce several common noise models.In the second chapter,we expound the modeling principle of image denoising based on partial differential equations,and summarize several traditional image denoising models based on partial differential equations,and illustrate the image denoising evaluation index used in this paper.In the third chapter,the IPM denoising algorithm is obtained by changing the fixed edge threshold to the adaptive gradient and by modifying the diffusion function besed on anisotropic denoising model.In the fourth chapter,the MYK denoising algorithm is obtained by changing the fixed edge threshold to the adaptive gradient threshold and by using a new diffusion function besed on the fourth-order partial differential equation denoising model.In the final chapter,we summarize the full text,and analyze the unresolved issues in the research process,and discusses the areas to be improved in the future research.