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http://dx.doi.org/10.9708/jksci.2018.23.01.067

A Improved Scene based Non-uniformity Correction Algorithm for Infrared Camera  

Hyun, Ho-Jin (Electoro-Optronics 2Team, Hanwha Systems Company)
Choi, Byung-In (Image PGM Team, Hanwha Systems Company)
Abstract
In this paper, we propose an efficient scene based non-uniformity correction algorithm which performs the offset correction using the uniform obtained from input scenes for Infrared camera. In general, pixel outputs of a infrared detector can not be uniform. Therefore, the non-uniformity correction procedure need to be performed to make the image outputs uniform. A typical non-uniformity correction method uses a black body at the laboratory to obtain the output of the infrared detector's pixels for two temperatures, HOT and COLD, and calculates the non-uniformity correction parameters. However, output characteristics of the Infrared detector changes while the Infrared camera is operated, the fixed pattern noise of the Infrared detector and dead pixels are generated. To remove the noise, the offset correction is generally performed. The offset correction procedure usually need the additional device such as a thermo-electric cooler, shutter, or non-uniformity correction lens. Therefore, we introduce a general scene based non-uniformity correction technique without additional equipment, and then we propose an improved non-uniformity correction algorithm based on image to solve the problem of the existing technique.
Keywords
Non-uniformity correction; Scene based; Infrared camera; Offset correction;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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