Cooled IR detectors calibration analysis and optimization

Fillon, Patrice; Combette, Agnes; Tribolet, Philippe

doi:10.1117/12.607594

Cited by 6 publications

(2 citation statements)

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“…6 If an overall systematic response model is the goal, the NUC methods are often associated with calibration, adaptive filtering or other methods for estimating system response parameters. 8–30 Imaging system response nonuniformity models and methods for representation are essential for NUC and nonuniformity evaluation (NUE), and research on these topics is the basis of system response NUC and NUE. However, some parameters drift over time; hence, the representation of imaging system response nonuniformity is difficult.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4][5] However, the nonuniformity of colour imaging systems also leads to obvious measurement errors in photometric and colorimetric measurements. 6,7 The NUC methods of an imaging system response can be divided into two main categories: scene-based [8][9][10][11][12][13][14][15][16][17][18] and calibration-based [19][20][21][22][23][24][25][26][27][28][29][30] methods. Both types depend on the system response nonuniformity model.…”

Section: Introductionmentioning

confidence: 99%

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Response nonuniformity modelling for colour imaging systems

Xie

Sun

Gong

et al. 2023

Lighting Research & Technology

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In this paper, a theoretical analysis reveals that system radiation transmission nonuniformity and system radiation conversion nonuniformity have different forms. A colour imaging system response nonuniformity model is then proposed according to the two kind of nonuniformity of three channels. The model includes two models, one for brightness and one for chromaticity. The brightness model is built according to the nonuniformity of single channel. The chromaticity model is built as an error ellipse in the chromaticity diagram. The error ellipse can be also used as a representation parameter of the radiation conversion nonuniformity. The proposed models were verified using three commercial digital cameras. The experimental results show that the proposed nonuniformity model is correct. Moreover, the proposed representation parameter is an effective way to evaluate and characterize the nonuniformity of a colour imaging system. This research has value as a reference for the correction and evaluation of response nonuniformity in colour imaging systems.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Response nonuniformity modelling for colour imaging systems

Xie

Sun

Gong

et al. 2023

Lighting Research & Technology

View full text Add to dashboard Cite

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Design and development of a miniaturized black body device for in-situ IR-camera calibration

Schacht

Gerner²,

Nowak³

et al. 2010

2010 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems

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Nowadays very often IR-thermography is used to analyze the temperature on electronic device surfaces. To measure the absolute surface temperature correctly, the IR-camera detector has to be calibrated with a corresponding evaluation software using a black body calibration device. Commercially available black radiators are heavyweight and a calibration of macrolenses is not possible due to mismatch of the macro lens diameter and the structural design of the radiator. This paper describes the design and realization of a mobile, miniaturized black body calibration device (mass 500 g) which supports macro lenses as well. To realize a temperature range of -5°C to 130°C, a Peltier element as cooling source and a flip-chip mounted thermal test die (TTD) as black radiator heat source, with an including temperature measuring instrument, were used. First temperature stability and calibration tests for the new TTD black radiator show a suitable resolution of 0.1 K. A verification with a commercially available calibration device was done

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