Thermal imager sources of non-uniformities: modeling of static and dynamic contributions during operations

Sozzi, B.; Olivieri, Monica; Mariani, Paolo; Giunti, C.; Zatti, S.; Porta, Antonio La

doi:10.1117/12.2049914

Cited by 2 publications

(1 citation statement)

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“…In addition, since most targets displayed on the image frame are point targets, it is very difficult to perform an SBNUC with information derived from the shape and size of the targets. 12 Recently, Sozzi et al 13 analyzed and modeled spatial nonuniformity thoroughly by assuming that the optomechanical system and the detector effect can be separated. Although this method can mitigate the spatial nonuniformity caused by optomechanical devices, the performance of the NUC depends on the correction parameters calculated by optical analysis software (OAS).…”

Section: Introductionmentioning

confidence: 99%

Nonuniformity correction scheme considering the effects of internal thermal stray light

Kim

Chang

2017

Opt. Eng

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Abstract. A stray light compensated nonuniformity correction (SLCNUC) method is proposed for infrared (IR) cameras. The proposed approach formulates thermal stray light compensation functions according to the internal temperature changes of the IR camera. To derive the compensation functions, we analyze the variations of the NUC parameters over the entire range of internal temperatures and determine the function coefficients by using a least squares method. Compared with the existing NUC methods used in previous studies, the major advantage of the proposed method is its effective reduction of nonuniformity even in highly accumulated thermal stray light situations. Experiments and comparisons performed with real IR images show that the proposed method maintains lower spatial noise over a wide internal temperature range of the IR camera. It is shown that the proposed NUC achieves an 18 dB higher peak signal-to-noise ratio than that of the conventional reference-based NUC method. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 99%