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Infrared image enhancement method for color transfer and contrast equalization in image registration
Author(s): Yu Wang; Xin Wang; Bin Li; Shihong Yang; Gang Liu; Qiuping Hu; Chuanling Liu; Ke Zhao
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Paper Abstract

The use of infrared sensors to detect and obtain the real image of the moving target is an important means for the test of weapon equipment and the monitoring of space launch. To better play the advantages of infrared devices visibility at day and night, the role of distance, solved the details of the image display effect by eye gray resolution constraints problem for ground multisensor surveillance system field situation awareness requirements, proposed color visible image and infrared image registration and image processing based on color transfer and contrast equalization enhancement method. First, analyzed the implementation of dynamic monitoring system based on ground live monitoring system, through the acquisition of color image and infrared image, and multi frame color images combining to construct the scene, established the acquisition, processing, application process of the visible-infrared image registration; Then, analyzed the representation of color transfer process of color space and the features of real-time processing, will color scene graph expressed as geometry, color space, comprehensive expression of brightness distribution, According to the correspondence between the infrared image and the color scene image, obtained the color space representation of the infrared image; Next, Improved the infrared image gray distribution by contrast equalization method, by contrast limited adaptive histogram equalization to improve the display effect of gray details. As for the validation of the proposed method, using the method in the paper to enhance the infrared image, the experimental results show that the integrated color transfer and contrast balance, improved the visual effect of image display and showed more details information, Presented more detailed information, improved the image display effect.

Paper Details

Date Published: 24 October 2017
PDF: 6 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046258 (24 October 2017); doi: 10.1117/12.2285748
Show Author Affiliations
Yu Wang, Huayin Ordnance Test Ctr. (China)
Xin Wang, Huayin Ordnance Test Ctr. (China)
Bin Li, Huayin Ordnance Test Ctr. (China)
Shihong Yang, Huayin Ordnance Test Ctr. (China)
Gang Liu, Huayin Ordnance Test Ctr. (China)
Qiuping Hu, Huayin Ordnance Test Ctr. (China)
Chuanling Liu, Huayin Ordnance Test Ctr. (China)
Ke Zhao, Huayin Ordnance Test Ctr. (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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