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Image deblurring method

A technology of deblurring and image model, applied in the field of image processing, can solve the problems of no neighborhood gradient information utilization, step effect, etc., and achieve the effect of improving difference, improving protection, and fast processing speed

Inactive Publication Date: 2018-06-22
MINNAN NORMAL UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, there are two outstanding problems in the first-order TV model. The first problem is that the TV model assumes that the image is sliced ​​and smooth. The TV denoising model has a very obvious advantage in maintaining the edge of the image, but it is also easy to bring steps effect
The second problem is that the traditional TV model only considers the gradient information in the horizontal and vertical directions, and does not fully utilize the neighborhood gradient information of each point.

Method used

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Embodiment 1

[0066] Embodiment 1 of the present invention provides an image deblurring method, such as figure 1As shown, it is a schematic flow chart of the image deblurring method described in Embodiment 1 of the present invention, and the method may include the following steps:

[0067] S1: Input observation image.

[0068] like Figure 4 as shown, Figure 4 (a) is the original image, Figure 4 (b) is the blur kernel, which is Figure 4 (c) is the blurred image, Figure 4 (d) is the image that is blurred and adds Gaussian noise, and the observation image described in this embodiment is Figure 4 For the blurred image in (c), perform image restoration on it, and try to make the output restoration image as close as possible to the original image.

[0069] S2: Initialize the image model, set parameters tol, β, γ, Nit, n=0, k=0, set

[0070] Wherein, tol is the stop threshold, which is set to tol=10 in this embodiment -4 . β represents the penalty coefficient of the quadratic pena...

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Abstract

The invention relates to an image deblurring method, in particular to a total variation image deblurring method based on a four-direction overlapping group technique. The gradients of each of pixels in each direction are combined to form a non-separable combined gradient, so that the difference between a smooth region and an edge region is further improved, and the quality of image reconstructionis improved. In order to improve the computing speed of image restoration, the horizontal and vertical difference matrix operation of an image is modeled as convolution operation, and periodic boundary conditions are combined, so that the two-dimensional fast Fourier transform can be ingeniously applied to the image restoration problem, and the point multiplication operation on a frequency domainreplaces the large-scale matrix operation on the airspace.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image deblurring method. Background technique [0002] With the development of science and technology and the progress of the times, image processing technology has developed vigorously and has been widely used in many scientific fields, including medicine, military, communication, geography, etc. Today, the development of image processing technology It can be said that it is changing with each passing day, and the demand for image quality is also getting higher and higher. [0003] Due to the influence of the environment and image transmission, the image will inevitably be polluted by different degrees of noise during the process of acquisition and transmission. The existence of noise not only seriously reduces the visual quality and effect of the image, but also affects the follow-up image processing. Detrimental effects on the development of work. [0004] The traditional ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20056G06T5/73
Inventor 陈颖频林凡程祝媛李曙彭真明闫敬文陈育群喻飞
Owner MINNAN NORMAL UNIV
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