Novel image restoration method based on self-adaptive anisotropy total variation regularization

Abstract

The invention provides a novel image restoration method based on self-adaptive anisotropy total variation regularization, which comprises the following steps: firstly, acquiring an original image by using image equipment, and calculating gradient mapping of the original image in an x direction and a y direction; secondly, improving the anisotropic total variation regularization model based on a weight adaptive theory to obtain a novel non-smooth and non-convex denoising model; and finally, calculating an approximate solution of the novel non-smooth and non-convex denoising model by using an iterative reweighting algorithm, and solving the approximate solution model by using an alternate minimization algorithm to obtain a final restored image. According to the method, the non-convex optimization problem is solved by adopting an iterative reweighting algorithm, so that the problem of imbalance of convergence rates in different regions is avoided, and an important geometric structure of the image is better reserved while the step effect is eliminated; and the restored image is used as an initial image of a new round of iteration, so that the denoising effect of the restored image is better and is closer to an original clear image.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a novel image restoration method based on adaptive anisotropic full variational regularization, which mainly involves image denoising and can be used for disease diagnosis and lesion detection in medical images analyze. Background technique [0002] Image denoising is one of the basic tasks in the field of image processing. Its goal is to reduce or eliminate noise degradation, so that the features of the image can be recognized more clearly and easily. Usually, in the process of image acquisition and signal transmission, the collected images are inevitably disturbed by internal factors (such as: imaging equipment, sensor temperature) and external factors (such as: non-uniform illumination, working environment), etc., resulting in The acquired image contains a lot of noise, which causes image distortion. Noisy images not only hinder people's visual perception, b...

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Problems solved by technology

[0004] Aiming at the technical problems that the existing image denoising methods rarely pay attention to the detailed information of the image, cannot effectively describe the local structural features of the image, and cannot obtain high-quality restoration results, the present invention proposes a novel method based on adaptive anisotropy The variational regularization image restoration method considers the interference of detail information on the image, and the gradient operator and the adaptive weighting matrix T u Coupled to the full variation norm to improve the restoration results of the image

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