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A Nonlocal Image Restoration Method Based on Total Variation

A total variation, non-local technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as not very good effect, no solution or unique solution, complex method, etc., to achieve the effect of simple effect

Active Publication Date: 2019-06-21
青岛数智孪生科技有限公司
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

Since the image restoration problem is an ill-conditioned inversion process, it will lead to no solution or non-uniqueness of the solution
But these methods are often more complicated, and the effect is not very good

Method used

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  • A Nonlocal Image Restoration Method Based on Total Variation
  • A Nonlocal Image Restoration Method Based on Total Variation
  • A Nonlocal Image Restoration Method Based on Total Variation

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Embodiment Construction

[0034] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0035] see Figure 1-4 , a non-local image restoration method based on total variation, including the following steps:

[0036] (1) Model the degradation of the image as acting on a frame of the original image f(x, y, n) (hereinafter abbreviated as f(n), The degradation function h(x, y, n) (hereinafter abbreviated as h(n)) on the frame number), combined with a noise η(x, y, n) (hereinafter abbreviated as η(n)) produces Degraded image g(x, y, n) (hereinafter abbreviated as g(n));

[0037] (2) According to the model, the mathematical expression of the degradation model is expressed as: g(n)=f(n) h(n)+η(n), and the g(n)=f(n) h( In n)+η(n), f(n) is a frame of original image, is the degradation factor, is random noise, g(n) is the collected image;

[0038] (3) Let the size of f(n) be M 1 ×N 1 , The size is M 2 ×N 2, and there is no energy...

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Abstract

The invention discloses a non-local image restoration method based on total variation, which includes the following steps: (1) Degradation modeling of the image; (2) According to the model, it is obtained: g(n)=f(n)*h (n)+η(n); (3) The expression in step (2) becomes: (4) Construct the recovery model: ‑ε<ξ(i)<ε, (0≤i≤N), take ε =1; (5) Construct (6) tentatively h(0), and obtain f(0) through deconvolution; (7) Further make relevant estimates and obtain: through the method in the present invention, the original Image, restore the image, which is both simple and effective.

Description

technical field [0001] The invention relates to the technical field of image processing equipment, in particular to a non-local image restoration method based on total variation. Background technique [0002] During the image acquisition process, the acquired images often have brightness imbalance or blur. There are many factors that affect the clarity of an image, such as shaking during shooting, inaccurate focus, overexposure or unevenness, and mutual movement between the camera and the scene, all of which will reduce the quality of the image. This process of quality degradation is called image degradation. degradation. In order to carry out image acquisition tasks in complex environments, it is necessary to introduce image restoration technology. Image restoration technology is to solve the image blurring problem caused by external interference as much as possible. The restoration quality largely determines the effect of image detection and feature extraction. [0003]...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20192G06T5/73G06T5/70
Inventor 魏伟波贾梦琦赵胜楠刘小芳王静
Owner 青岛数智孪生科技有限公司