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Gradient-related TV factor image denoising and deblurring method based on noise level

A noise level, deblurring technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as difficulty in balancing, and achieve the effect of reducing time cost

Active Publication Date: 2018-10-12
ZHEJIANG UNIV
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Problems solved by technology

In the process of image restoration, there is a contradiction between deblurring and denoising, and it is often difficult to balance

Method used

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  • Gradient-related TV factor image denoising and deblurring method based on noise level
  • Gradient-related TV factor image denoising and deblurring method based on noise level
  • Gradient-related TV factor image denoising and deblurring method based on noise level

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0044] The present invention utilizes the different responses of the noise gradient, applies the RL algorithm to obtain the preliminary restoration result of the blurred image, and applies it to the subsequent image restoration operation of the regularization variational method, and performs gradient correlation on the regularization constraint factor by adding image constraints Distributed adjustment processing finally achieves the restoration effect of suppressing noise while maintaining good image edge characteristics.

[0045] Flow process of the present invention is attached image 3 , Figure 4 As shown, it mainly includes RL algorithm to obtain preliminary deblurred image, image regularization energy equation introduction, new variable introduction and optimization equation solution, gradient penalty factor distributed processing, itera...

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Abstract

The invention discloses a gradient-related TV factor image denoising and deblurring method based on a noise level. An image obtained by daily shooting exhibits degradation of a certain degree; even ifa static target is stably imaged, the obtained image also comprises a pixel-level fuzzy quantity, and in addition, noise is inevitable; and a blurred image with noise can be subjected to a reset operation to improve image quality, however, noise inhibition and deblurring have a contradiction, and the balance of the noise inhibition and the deblurring needs to be given a consideration during imagerestoration. The method puts forward an image denoising and deblurring method based on total variation regularization, while the image is subjected to fuzzy recover, the characteristics of a Richardson-Lucy algorithm are combined to obtain a preliminary deblurring image, constraining is carried out through a plurality of regularization items, the prior distribution characteristics of a noise image gradient can be utilized to carry out gradient-related distributed regulation processing on a regularization weight factor, good image edge characteristics can be kept while noise can be effectivelyinhibited, and an image with high quality is obtained.

Description

technical field [0001] The invention belongs to the field of digital image processing, and relates to a method for denoising and deblurring gradient-related TV factor images based on noise levels. Background technique [0002] With the popularization of photographic equipment and photographic technology, photography has become an important activity in people's daily life. Correspondingly, people's requirements for image quality are also increasing day by day. In the process of natural image formation, it may be affected by various aspects such as the movement of the target scene, the shake of the imaging device, the noise of the imaging sensor, etc., and finally obtain a blurred and degraded image. Generally speaking, under the premise that the imaging system is linear shift invariant, the formation process of the noisy blurred image can be simply described as: [0003] y(u,v)=k(u,v)*x(u,v)+n(u,v) [0004] Among them: k(u, v) is the point spread function (image blur kernel...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20192G06T5/70
Inventor 冯华君黄加紫徐之海李奇陈跃庭
Owner ZHEJIANG UNIV
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