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Blind deblurring image restoration method

A technology of image restoration and blind deblurring, which is applied in the field of image processing, can solve the problems of insufficient convergence of blur kernel and insufficient quality of deblurred images, and achieve the effects of improving convergence, increasing algorithm speed, and improving image quality

Inactive Publication Date: 2018-03-06
WANFANG COLLEGE OF SCI & TECH HPU
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  • Application Information

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Problems solved by technology

[0004] The existing technology is not high enough in the quality of the deblurred image and needs to be further improved. At the same time, the calculation speed of the algorithm also needs to be further improved, and the convergence of the blur kernel is not good enough.

Method used

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Embodiment Construction

[0053] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0054] like figure 1 As shown, an image restoration method for blind deblurring, the steps are as follows:

[0055] Step 1, establish the image blur model as:

[0056]

[0057] Among them, f represents the blurred image, k represents the blur kernel matrix, u represents the clear image, and n represents the noise in the imaging process;

[0058] Step 2, using discrete filters generate high frequency information Construct th...

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Abstract

The invention discloses a blind deblurring image restoration method, and belongs to the field of image processing. According to the invention, an lq / l2 norm is utilized to serve as a regularization prior term, a multiscale method is adopted to gradually solve in an iterative mode from a coarse scale to a fine scale, high-frequency information of an estimated image is updated by using an l1 norm fidelity term when the model is solved according to a splitting method, an analytical solution is provided by adopting a closed threshold formula during restoration of a clear image, and the algorithm speed is improved. Meanwhile, a linear progressive increase weight parameter is proposed when a blurring kernel is updated, and the blurring kernel is gradually estimated from coarse to fine accordingto the multiscale method, so that the convergence of the blurring kernel is further improved, and the quality of the deblurred image is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image restoration method for blind deblurring. Background technique [0002] Image restoration is a major field in image processing, has a wide range of applications, and is becoming a current research hotspot. The main purpose of image restoration is to make the degraded image undergo certain processing, remove the degradation factors, and restore the original image with the greatest fidelity. Traditional image restoration assumes that the image degradation model is known. [0003] In practical applications, the point spread function of the image degradation system is generally unknown, and the original image can only be estimated based on the observation data of the degraded image, plus little prior knowledge about the system and the original image, which is called a blind image. recovery. [0004] The quality of the deblurred image in the prior art i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/73
Inventor 赵艳伟李双安李娜陈凤华贾秀玲
Owner WANFANG COLLEGE OF SCI & TECH HPU
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