25 September 2001 Infrared and low-light-level image processing in color night vision technology
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Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001); doi: 10.1117/12.441412
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
In this paper, infrared and low light level image processing theories and techniques in color night vision system are studied in detail. The characteristic of IR and low light level image is described and the significance of IR and low light level image processing in color night vision technology is pointed out. On the bases of these, IR and low light level image processing theories and techniques in color night vision system, including geometric calibration by control point method, image zoom by gray-level interpolation, IR and low light level image noise suppression techniques and gray-level transform by look-up table (LUT) processing, are presented. The theory models and calculating methods of every above image processing technique is described. Through IR and low light level image processing, the quality of the night vision images is improved significantly and the color night vision system is developed successfully.
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Lianfa Bai, Qian Chen, Guohua Gu, Baomin Zhang, "Infrared and low-light-level image processing in color night vision technology", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441412; https://doi.org/10.1117/12.441412
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KEYWORDS
Infrared imaging

Thermography

Digital filtering

Image processing

Night vision

Infrared radiation

Night vision systems

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