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Proceedings Paper

Infrared and low-light-level image processing in color night vision technology
Author(s): Lianfa Bai; Qian Chen; Guohua Gu; Baomin Zhang
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Paper 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.

Paper Details

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441412
Show Author Affiliations
Lianfa Bai, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Guohua Gu, Nanjing Univ. of Science and Technology (China)
Baomin Zhang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 4548:
Multispectral and Hyperspectral Image Acquisition and Processing

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