A Method of Infrared Image Enhancement Based on Human Vision Characteristics
A technology of human vision and infrared images, applied in image enhancement, image data processing, instruments, etc., to enhance image contrast, enhance processing effects, and solve noise problems
Inactive Publication Date: 2020-12-25
HARBIN UNIV OF SCI & TECH
View PDF7 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0002] Because infrared imaging technology has good anti-interference ability, strong ability to penetrate smoke, and can work around the clock or in harsh environments, compared with visible light images, infrared images can more accurately show useful information in the image scene. However, infrared The image is easily affected by factors such as heat transfer, transmission distance, and the inherent characteristics of infrared detectors, resulting in some disadvantages
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0041] The present invention provides an infrared image enhancement method based on the visual characteristics of the human eye, in order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, and to enable the above-mentioned purposes, features and advantages of the present invention to It is more obvious and easy to understand, and the technical solution in the present invention will be described in further detail below in conjunction with the accompanying drawings:
[0042] The present invention first provides an embodiment of an infrared image enhancement method based on the visual characteristics of the human eye, such as figure 1 as shown,
[0043] include:
[0044] Step 1 S101, using Gaussian filtering to denoise the collected image;
[0045] Step 2 S102. Combining the visual characteristics of the human eye with Weber's law to process the brightness of the image, wherein the expression relationship...
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
Login to View More Abstract
The invention discloses an infrared image enhancement algorithm based on human visual characteristics, and belongs to the technical field of image enhancement algorithms. The invention aims to improvethe enhancement effect of the infrared image and solve the complex problems that the existing enhancement algorithm is limited, the enhancement effect is not beneficial to human eye observation and the like. According to the invention, human eye visual characteristics are combined with an infrared image processing algorithm. According to the method, brightness processing is carried out on an overall image by using a human eye brightness perception characteristic and a Weber law, and target information of a Weber region is highlighted; performing image segmentation by utilizing the characteristic that the background intensity and the light intensity gradient are in a local linear relationship in a logarithm domain to obtain three regions; then, respectively carrying out image enhancement on the three regions, and utilizing an improved enhancement algorithm IAVIHE (Improved Adaptively Increasing Value of Histogram Equalization ) to carry out image enhancement on the three regions, so asto obtain an enhanced image of the three regions; and finally, combining the enhanced images of the three regions according to a ratio of 0.3: 0.4: 0.3, highlighting a Weber region, and finally obtaining an enhanced infrared image. The enhanced infrared image conforms to the visual characteristics of human eyes, and the processing time is also well improved.
Description
technical field [0001] The invention belongs to the category of infrared image enhancement methods, in particular to an infrared image enhancement method based on the visual characteristics of human eyes. Background technique [0002] Because infrared imaging technology has good anti-interference ability, strong ability to penetrate smoke, and can work around the clock or in harsh environments, compared with visible light images, infrared images can more accurately show useful information in the image scene. However, infrared The image is easily affected by factors such as heat transfer, transmission distance, and the inherent characteristics of infrared detectors, resulting in some disadvantages. Therefore, it is of great research significance to enhance the infrared image by combining the visual characteristics of the human eye. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present invention combines the visual characteristics of th...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 于天河赵树梅李昱祚
Owner HARBIN UNIV OF SCI & TECH