Real-time gas image enhancement algorithm based on guided filter simplification kernel

Li-ping, Liang; Yu, Lintao; Duan, Luotian; Ding, Luoyi; Yu, Yixin; Shi, Haodong; Li, Yingchao

doi:10.1109/eiecs53707.2021.9587942

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2024

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“…Preprocessing can enhance infrared image details and reduce noise. In order to solve the problems of low signal-to-noise ratio and weak imaging of toxic gas infrared images, Liang et al [ 92 ] proposed a real-time gas image enhancement algorithm based on a guided filter and simplified kernel gain mask to improve the visual effect of gas infrared images.…”

Section: Application Scenariomentioning

confidence: 99%

Gas Imaging with Uncooled Thermal Imager

Zhang,

Chen,

Lin

et al. 2024

Sensors

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Gas imaging has become one of the research hotspots in the field of gas detection due to its significant advantages, such as high efficiency, large range, and dynamic visualization. It is widely used in industries such as natural gas transportation, chemical, and electric power industries. With the development of infrared detector technology, uncooled thermal imagers are undergoing a developmental stage of technological advancement and widespread application. This article introduces a gas imaging principle and radiation transfer model, focusing on passive imaging technology and active imaging technology. Combined with the actual analysis, the application scenarios using uncooled thermal imaging cameras for gas imaging measurement are analyzed. Finally, the limitations and challenges of the development of gas imaging technology are analyzed.

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Section: Application Scenariomentioning

confidence: 99%