Self-adaptive threshold image denoising method based on four-order partial differential equation

Abstract

The invention discloses a self-adaptive threshold image denoising method based on a four-order partial differential equation, and the method comprises the steps: S1, inputting an original sample imageu, and adding noise to the original sample image u to obtain a noise-containing image u0; S2, constructing a denoising model based on a four-order partial differential equation: wherein delta is a Laplacian operator, k (k > 0) is a threshold value and used for judging the characteristics of the image; S3, selecting the threshold value k (k > 0) by adopting a self-adaptive threshold value method;S4, discretizing the denoising model by adopting a finite difference method, and solving the denoising model by adopting an iteration method to obtain a denoised image. According to the method, multiplicative noise can be effectively removed, meanwhile, image edge detail information is reserved, and compared with a classical denoising model, the denoising effect is better.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an adaptive threshold image denoising method based on a fourth-order partial differential equation. Background technique [0002] With the development of science and technology, digital image processing technology has attracted more and more attention from people. Image is one of the important media for people to obtain information. However, in the process of image formation, image recording, image transmission, etc., it will be interfered by one or more factors, which will cause interference noise in the image or blur the image. Therefore, the digital processing of images is particularly important. The basis of image processing is image denoising, which provides a reliable guarantee for subsequent image processing. Existing image denoising methods based on partial differential equations are widely used. [0003] The earliest partial differential equations...

AI Technical Summary

Problems solved by technology

[0013] The purpose of the present invention is to provide an adaptive threshold image denoising method based on fourth-order partial differential equations, which can solve the second-order The "ladder effect" problem in the PDE model can achieve a more efficient denoising effect on the image; the specific technical solution is as follows:

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