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Curvelet domain enhancement method for low-illumination-level power equipment image

A power equipment and low-illumination technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of image color distortion, poor noise suppression, etc., and achieve the effects of maintaining details, improving quality, and improving contrast and brightness

Pending Publication Date: 2018-08-28
QUANZHOU POWER SUPPLY COMPANY OF STATE GRID FUJIAN ELECTRIC POWER +1
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Problems solved by technology

It can effectively retain the detailed information of the image, but this algorithm also brings problems such as image color distortion and poor noise suppression.

Method used

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  • Curvelet domain enhancement method for low-illumination-level power equipment image
  • Curvelet domain enhancement method for low-illumination-level power equipment image
  • Curvelet domain enhancement method for low-illumination-level power equipment image

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Embodiment Construction

[0022] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0023] For low-illuminance power images, the algorithm flow chart of the present invention is as follows figure 1 As shown, the enhancement steps are as follows:

[0024] (1) Firstly, the original low-illuminance power image is converted into color space from RGB space to HSI space. R, G, B and S, I are all in the range of [0, 1], the conversion formula is as follows:

[0025]

[0026] in:

[0027]

[0028] (2) Use the curvelet transform to decompose the luminance parameters to obtain low-frequency component coefficients and high-frequency sub-band coefficients of different scales and directions. As an improved algorithm of wavelet transform, curvelet transform has the scale characteristics of wavelet transform, and at the same time, it also has strong direction selectivity and linear characteristics. Its calculation speed is greatly improved com...

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Abstract

The invention proposes a curvelet domain enhancement method for a low-illumination-level power equipment image, and solves a problem that the degradation of a low-illumination-level power equipment image is severe. The method comprises the steps: converting the low-illumination-level power equipment image into an HIS space, decomposing a brightness parameter through curvelet transformation, and obtaining subband components at different scales and in different direction, so as to construct a human eye vision model; carrying out the nonlinear enhancement of a high-frequency component through brightness shading and brightness-contrast shading characteristics of the model, and carrying out the nonlinear stretching of a low-frequency component; finally reconstructing the brightness parameter through the curvelet inverse transformation, converting the image into an original color space through combining with chromaticity and saturability components of the original image, and obtaining an enhanced low-illumination-level power equipment image. The method can effectively improve the contrast and brightness of the low-illumination-level power equipment image, maintains the detail informationof the image, and inhibits the image noises.

Description

technical field [0001] The invention relates to the technical field of image enhancement, in particular to a curve wave domain enhancement method for low-illuminance power equipment images. Background technique [0002] Computer vision systems play a key role in power equipment inspections. High-quality digital images are a necessary prerequisite for computer vision systems to work efficiently. However, because most of the power equipment is located in the wild, under low-illumination conditions such as rainy, nighttime, and insufficient artificial light, the collected images of power equipment have problems such as low contrast and serious loss of details, and the application value of the image is severely reduced, which greatly affects The efficiency of electric power workers in dealing with equipment dangers. Therefore, in order to mine information in low-illuminance power equipment images and improve the reliability of computer vision systems, it is necessary to improv...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10024G06T5/73
Inventor 郑云海郭建钊王门鸿陈国伟龚建新吴奇宝林盛强张国灿杨文陵方丽妮高阿娜孙宇轩彭炜文
Owner QUANZHOU POWER SUPPLY COMPANY OF STATE GRID FUJIAN ELECTRIC POWER
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