TV flow based self-adaptive diffusion filtering image denoising algorithm

Abstract

The invention relates to a TV flow based self-adaptive diffusion filtering image denoising algorithm. The TV flow based self-adaptive diffusion filtering image denoising algorithm comprises the steps of 1 representing a TV flow diffusion equation in an internal coordinate mode, 2 simplifying the TV flow diffusion equation in the step 1, 3 establishing a diffusion filtering algorithm based on morphology, 4 establishing a self-adaptive diffusion process model (shown in the description), 5 establishing a fidelity term (shown in the description) and 6 adopting a central difference numerical algorithm to perform further processing. By means of the TV flow based self-adaptive diffusion filtering image denoising algorithm, clearer images approximating to original images can be processed, and the problem that a traditional algorithm is low in timeliness and high in complex and excessive smoothness and insufficient smoothness phenomena often exist in the processing process is solved.

Description

technical field [0001] The invention relates to the field of image denoising algorithms based on partial differential equations, in particular to an adaptive diffusion filter image denoising algorithm based on TV streams. Background technique [0002] The main sources of image noise are random Gaussian noise in the process of image acquisition and salt and pepper noise in the process of image transmission. Traditional denoising methods include median filtering, homomorphic filtering, inverse filtering, etc. These methods can achieve the purpose of removing noise to a certain extent, but they have a common weakness. The edges are blurred, and even the detailed texture information of the image is lost. In recent years, partial differential equations have become another new image processing tool after wavelets. Partial differential equations (PDE) can reflect the constraints between the derivatives of unknown variables with respect to time and derivatives with respect to space...

AI Technical Summary

Problems solved by technology

[0004] In order to process a clearer image to be close to the original image, to solve the problem of low timeliness and high complexity of the traditional algorithm, and the phenomenon of excessive smoothing and insufficient smoothing often occur in the processing process, the present invention provides a TV stream based Adaptive Diffusion Filtering Image Denoising Algorithm

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