Infrared image hybrid noise reduction method based on noise recognition

An infrared image and noise technology, applied in the field of infrared image hybrid noise reduction based on noise recognition, can solve problems such as image distortion

Inactive Publication Date: 2021-10-08
成都上富智感科技有限公司
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However, due to the influence of the acquired image through the conversion device and the environment, the image acquired i

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  • Infrared image hybrid noise reduction method based on noise recognition
  • Infrared image hybrid noise reduction method based on noise recognition
  • Infrared image hybrid noise reduction method based on noise recognition

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[0037] DETAILED DESCRIPTION OF THE INVENTION The present invention will be described below to understand the present invention, but it should be understood, and the present invention is not limited to the scope of the specific embodiments, and in terms of ordinary skill in the art, as long as various changes Within the spirit and scope of the invention appended claims, it is apparent from the spirit and scope of the appended claims, and all inventions of the inventive concepts are all protected.

[0038] An infrared image mixing method based on noise recognition, such as figure 1 As shown, including the following steps:

[0039] S1, get noise-containing face infrared image and perform median filtering thereof;

[0040] In the present embodiment, step S1 specifically includes:

[0041] S11, constructing N × N filtering core and slides on the human face infrared image acquired by the constructed filter core, and aligns the midpoint of the built filtering core to the pixel point to b...

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Abstract

The invention discloses an infrared image hybrid noise reduction method based on noise recognition, which comprises the following steps: firstly, carrying out 3 * 3 median filtering on a near-infrared image by using a filter to obtain an image only containing Gaussian noise, and then carrying out wavelet transform denoising processing on the image; secondly, after wave decomposition, main information of the image being almost all distributed in a low-frequency sub-band, and processing of a low-frequency part being often omitted in order to prevent important information from being damaged during denoising; performing thresholding processing on the wavelet coefficient of the high-frequency region after image decomposition, and then performing median filtering again by adopting a 5 * 5 filter; and finally, performing wavelet reconstruction by using the wavelet coefficient of each sub-band to obtain a denoised image. Through the above mode, compared with a single denoising method, the hybrid noise reduction method can more effectively remove noise and improve the signal-to-noise ratio of the near-infrared face image in view of the denoising effect of the collected night infrared image, and edge details of the image are well reserved.

Description

technical field [0001] The invention relates to the technical field of infrared image processing, in particular to an infrared image hybrid noise reduction method based on noise recognition. Background technique [0002] In the visible light environment, the illumination seriously affects the positioning of the eyes. Even at night, it is difficult to accurately detect the face area, let alone accurately locate the eyes. Near-infrared light basically does not have the limitations of natural light, and can be absorbed by the pupil, while a lot of it is reflected by the iris. Use the difference between them to quickly detect human eyes and achieve real-time facial monitoring. However, due to the influence of the converted device and the environment on the captured image, the image acquired in the computer contains infrared noise such as Gaussian and salt and pepper, which leads to partial distortion of the image. In order to obtain near-infrared facial images with high signal...

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Application Information

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IPC IPC(8): G06T5/00G06T5/10G06T5/20
CPCG06T5/002G06T5/10G06T5/20G06T2207/10048G06T2207/20192G06T2207/20064
Inventor 何十全王振宇刘宇
Owner 成都上富智感科技有限公司
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