Night face video image enhancement and noise reduction method

A technology for video images and people at night, applied in the field of information processing, can solve the problems of loss of details, poor image enhancement effect, over-enhancement, etc., and achieve good effects and reasonable design effects.

Inactive Publication Date: 2019-04-19
SHANDONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

In the case of good lighting during the day, the collected video images can meet the application requirements, but the quality of the images collected in the evening or at night is seriously deteriorated, and the images show a large number of dark areas and contain noise, resulting in blurred image content and loss of details; Under the artificial light source at night, the collected face images will have high-light areas, making the overall brightness of the image uneven. These problems bring great challenges to the face recognition of night video images. Noise reduction methods are important
[0003] At present, image enhancement and noise reduction methods mainly include: enhancement and noise reduction methods based on histograms, enhancement and noise reduction methods based on homomorphic fi

Method used

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  • Night face video image enhancement and noise reduction method
  • Night face video image enhancement and noise reduction method
  • Night face video image enhancement and noise reduction method

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Embodiment Construction

[0083] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0084] A night face video image enhancement and noise reduction method, its process is as follows figure 1 shown, including the following steps:

[0085] Step 1: read the image to the computer;

[0086] In the evening or at night, under the condition of artificial light source, use the computer connected to the camera to continuously collect face video and store it in the computer, extract a frame of night face image from the stored video, store it in BMP format, and record it as I(x, y); the image contains a lot of noise and the details of the face are blurred, and the image content is dark, such as image 3 as shown in (a);

[0087] Step 2: image space conversion;

[0088] For the image I(x,y) to be processed, it is converted from RGB space to HSV space. In the converted HSV space, the hue component is H(x,y) and the saturation component i...

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Abstract

The invention discloses a night face video image enhancement and noise reduction method. Information processing technology field, The method comprises the following steps: firstly, converting a face video image from an RGB space to an HSV space; carrying out BEMD decomposition on the V component of the image; adaptively decomposing into a plurality of IMF components according to a certain rule; filtering the low-frequency IMF component and removing the irradiation component in the low-frequency IMF component; the high-frequency IMF component is textured; The method comprises the following steps: firstly, enhancing information such as details and denoising, reconstructing the processed IMF components to obtain denoised and enhanced V components, performing self-adaptive contrast enhancementon the processed V components, and reconstructing the V components with H and S components subjected to wavelet denoising to obtain denoised and enhanced face video images. According to the method, detail information such as edges and textures can be sharpened while the contrast ratio of the image is effectively enhanced, the definition of the image is effectively improved, and the halo problem in night face image enhancement can be solved.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a nighttime human face video image enhancement and noise reduction method. Background technique [0002] At present, video surveillance technology is widely used in the fields of social governance and public security, and has become an important technical means for public security organs to identify criminal suspects. In the case of good lighting during the day, the collected video images can meet the application requirements, but the quality of the images collected in the evening or at night is seriously deteriorated, and the images show a large number of dark areas and contain noise, resulting in blurred image content and loss of details; Under the artificial light source at night, the collected face images will have high-light areas, making the overall brightness of the image uneven. These problems bring great challenges to the face recognition of ni...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/20G06T5/40
CPCG06T5/002G06T5/20G06T5/40G06T2207/10016G06T2207/30201
Inventor 贾翔宇彭延军李本冲姜凯孙红梅
Owner SHANDONG UNIV OF SCI & TECH
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