Infrared image enhancement method based on transmission image fusion

An infrared image and transmission map technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as loss of scene details, halo effect, difficulty in recovering scene details, etc., to overcome blind defects and enhance effective performance and robustness, overcoming defects requiring multiple sampling and precise registration

Active Publication Date: 2019-08-27
NANJING COLLEGE OF INFORMATION TECH
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002]At present, the existing infrared image enhancement methods are difficult to restore a large number of scene details originally hidden in the infrared image, resulting in the loss of a large number of scene details originally hidden in the infrared image , and it is easy to introduce negative effects such as overexposure, overenhancement, halo effect, etc.

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 enhancement method based on transmission image fusion
  • Infrared image enhancement method based on transmission image fusion
  • Infrared image enhancement method based on transmission image fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0050] A kind of infrared image enhancement method based on transmission map fusion of the present invention, see figure 1 shown, including the following process:

[0051] Step 1: Use the clustering algorithm to under-segment and super-segment the image at different scales to generate two clustering segmentation results.

[0052] Estimating the degree of attenuation of each pixel in the infrared image and performing targeted compensation can effectively enhance the visual effect of the infrared image. Most of the existing pixel attenuation estimation methods need to use some prior knowledge of the image to calculate the transmittance of each point in the image point by point, which has high co...

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 enhancement method based on transmission image fusion. The method comprises: carrying out under-segmentation and super-segmentation on an image under different scales through a clustering algorithm, and generating two clustering segmentation results; for the clustering segmentation result, generating two transmission images by using image pure pixel priori; constructing a fusion weight map for each transmission map, constructing an image pyramid structure model for each transmission map and the fusion weight map thereof, and performing layer-by-layer fusion to obtain a fused transmission map; based on the variational model, carrying out edge-preserving smoothing processing on the fused transmission map to obtain an optimized transmission map; and obtaining an enhanced infrared image by using the optimized transmission image. According to the method, a large number of originally hidden scene details in the infrared image can be recovered, and negative effects cannot be introduced.

Description

technical field [0001] The invention belongs to the technical field of infrared image processing, and in particular relates to an infrared image enhancement method based on transmission map fusion. Background technique [0002] At present, the existing infrared image enhancement methods are difficult to restore a large number of scene details originally hidden in the infrared image, resulting in the loss of a large number of scene details originally hidden in the infrared image, and it is easy to introduce overexposure, overenhancement, light halo effect and other negative effects. [0003] Therefore, it is necessary to design an infrared image enhancement method that can restore a large number of scene details originally hidden in the infrared image without introducing negative effects. Contents of the invention [0004] The purpose of the present invention is to overcome the deficiencies in the prior art, and proposes an infrared image enhancement method based on fusion...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T7/11G06K9/62
CPCG06T5/50G06T7/11G06T2207/20221G06T2207/10048G06T2207/20016G06F18/23213
Inventor 顾振飞袁小燕尹玉军陈凡刘凡姜晨阳李想
Owner NANJING COLLEGE OF INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap