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Image noise reduction method, device and equipment and storage medium

An image noise reduction and image technology, applied in the field of image processing, can solve problems such as the inability to guarantee the monitoring accuracy of electrical equipment, and achieve good denoising performance, good noise reduction effect, and high efficiency

Pending Publication Date: 2021-03-30
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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AI Technical Summary

Problems solved by technology

[0003] The accuracy of thermal images of electrical equipment has a great impact on the accuracy of subsequent monitoring and alarms. At present, research on the processing of thermal images of electrical equipment is still relatively lacking. For example, the noise processing of thermal images of electrical equipment cannot guarantee the accuracy of electrical equipment. Equipment Monitoring Accuracy

Method used

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  • Image noise reduction method, device and equipment and storage medium
  • Image noise reduction method, device and equipment and storage medium
  • Image noise reduction method, device and equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0041] This embodiment provides an image noise reduction method, which can effectively perform noise reduction processing on images. Such as figure 1 As shown, the method includes the following steps:

[0042] Step S01: Obtain a thermal image of the electrical equipment to be processed.

[0043] Step S02: Divide multiple image bands according to the structural correlation between adjacent bands.

[0044] This method uses the Structural Similarity Index Measure (SSIM) as a measure of the correlation between adjacent bands. The larger the value of SSIM, the higher the structural similarity between the two images, that is, the higher the correlation. B j and B j+1 represent the two-dimensional spatial domain images of the jth and j+1th bands of the image, respectively, and means B j The mean and variance of , and means B j+1 mean and variance of c 1 and c 2 is a constant, then the structural similarity index can be expressed as:

[0045]

[0046] Segment the ...

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Abstract

The invention relates to an image noise reduction method and device, equipment and a storage medium, and the method is used for the noise reduction of a thermal image of electrical equipment, and comprises the following steps: obtaining a to-be-processed thermal image of the electrical equipment; performing waveband decomposition on the thermal image of the electrical equipment to obtain a plurality of waveband subsets; introducing a Gaussian noise item and a sparse noise item, and constructing a hierarchical dictionary learning model for each waveband subset; and solving the constructed hierarchical dictionary learning model by adopting a Metropolis-Hastings algorithm, so as to obtain a noise reduction image. Compared with the prior art, the method has the advantages of good denoising performance and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image noise reduction method, device, equipment and storage medium. Background technique [0002] According to statistics, 70% of the faults in the power system are caused by electrical equipment failures, and more than half of the electrical equipment failures are related to heating caused by leakage current, magnetic flux leakage, loose connection, and poor contact. Infrared detection technology uses infrared detection equipment to obtain the temperature value and temperature spatial distribution characteristics of power equipment, and analyze and deal with potential faults and hidden dangers in the equipment, so as to prevent problems before they happen. Monitoring and alarming substations through thermal images of electrical equipment is very important for discovering potential accidents, taking early measures to avoid vicious consequences, and ensurin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06N20/00
CPCG06N20/00G06T5/70
Inventor 曹博源苏磊杨心刚孙沛
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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