Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the influence of the acquired image through the conversion device and the environment, the image acquired in the computer contains infrared noise such as Gaussian and salt and pepper, which leads to partial distortion of the image.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0038] A hybrid noise reduction method for infrared images based on noise recognition, such as figure 1 shown, including the following steps:

[0039] S1. Acquiring a noise-containing human face infrared image and performing median filtering on it;

[0040] In this embodiment, step S1 specifically includes:

[0041] S11. Construct an n×n filter kernel and use the constructed filter kernel to slide on the acquired face inf...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T5/00G06T5/10G06T5/20
CPCG06T5/10G06T5/20G06T2207/10048G06T2207/20192G06T2207/20064G06T5/70
Inventor 何十全王振宇刘宇
Owner 成都上富智感科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com