Paper
7 November 2016 Enhancement system of nighttime infrared video image and visible video image
Yue Wang, Yan Piao
Author Affiliations +
Proceedings Volume 10141, Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016; 101411S (2016) https://doi.org/10.1117/12.2256456
Event: Selected Proceedings of the Chinese Society for Optical Engineering Conferences held July 2016, 2016, Changchun, China
Abstract
Visibility of Nighttime video image has a great significance for military and medicine areas, but nighttime video image has so poor quality that we can’t recognize the target and background. Thus we enhance the nighttime video image by fuse infrared video image and visible video image. According to the characteristics of infrared and visible images, we proposed improved sift algorithm andαβ weighted algorithm to fuse heterologous nighttime images. We would deduced a transfer matrix from improved sift algorithm. The transfer matrix would rapid register heterologous nighttime images. And theαβ weighted algorithm can be applied in any scene. In the video image fusion system, we used the transfer matrix to register every frame and then used αβ weighted method to fuse every frame, which reached the time requirement soft video. The fused video image not only retains the clear target information of infrared video image, but also retains the detail and color information of visible video image and the fused video image can fluency play.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yue Wang and Yan Piao "Enhancement system of nighttime infrared video image and visible video image", Proc. SPIE 10141, Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016, 101411S (7 November 2016); https://doi.org/10.1117/12.2256456
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Cited by 1 scholarly publication.
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KEYWORDS
Image fusion

Infrared radiation

Infrared imaging

Visible radiation

Video

Image enhancement

Image quality

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