Standard NETD test procedure for FLIR systems with video outputs

Bell, Paul A.; Hoover, C. W.; Pruchnic, Stanley J.

doi:10.1117/12.154715

Cited by 10 publications

(5 citation statements)

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“…Under these conditions, 100 frame conventional infrared images are captured and their signal and noise are calculated. The signal and noise calculation is the same as that of noise equivalent temperature difference (NETD) [15]. Similarly, 100 frame-decoded images captured by our wavefront coding athermalized infrared imaging system and their signal and noise (containing spatial and temporal noise) are calculated.…”

Section: Resultsmentioning

confidence: 99%

ZnSe-material phase mask applied to athermalization of infrared imaging systems

Feng

Shi

et al. 2016

Appl. Opt.

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This paper reports a ZnSe-material phase mask that is applied to athermalization of a conventional infrared imaging system. Its principle, design, manufacture, measurement, and performance validation are successively discussed. This paper concludes that a ZnSe-material phase mask has a permissible manufacturing error 2.14 times as large as a Ge-material phase mask. By constructing and solving an optimization problem, the ZnSematerial phase mask is optimally designed. The optimal phase mask is manufactured and measured with a form manufacturing error of 1.370 μm and a surface roughness value of 9.926 nm. Experiments prove that the wavefront coding athermalized longwave infrared (LWIR) imaging system works well over the temperature range from −40°C to 60°C.

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Section: Resultsmentioning

confidence: 99%

ZnSe-material phase mask applied to athermalization of infrared imaging systems

Feng

Shi

et al. 2016

Appl. Opt.

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“…Figure 9 captures the actual optical system diagram for measuring the NETD of detector and HMID. The NETD was computed using earlier research [ 22 , 23 , 24 , 25 ] and is not detailed in this paper. The photographs used to compute the NETD were taken at room temperature of 22 °C at intervals of 0.5 °C, and 100 photographs were acquired sequentially at each temperature, using an area of 50 × 50 pixel points per image for the computation; the final measured values are provided in Table 4 .…”

Section: Methodsmentioning

confidence: 99%

Design, Fabrication and Analysis of a Hybrid-Order Monolithic Imaging Diffractive Lens on a Germanium Substrate

et al. 2023

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Diffractive optical elements are gradually replacing some conventional optical elements and becoming a key component of optical systems due to their unique phase modulation function. However, the imaging performance will be reduced due to the fact that this single-sided microstructured lens still produces chromatic aberration. Therefore, the key issue for the application of diffractive optical elements in optical systems is the reduction of chromatic aberration, and diffractive lenses with double-sided microstructures are proposed as a solution. This research describes the design and analysis of a 70-mm-diameter, 296-mm-focal-length double-sided microstructured hybrid-order monolithic imaging diffractive lens operating in the mid-wave infrared region (3.7–4.7 μm). The design minimizes chromatic aberration by up to 30 times compared to a standard harmonic diffractive lens and improves the image performance of a single-lens optical system operating in the infrared range. Experiments indicate that this design is capable of achieving single-lens imaging with high sensitivity for optical systems with a measured NETD ≤ 50 mK. The analysis of the experiments yielded suggestions for future research.

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“…As a widely used performance parameter, the NETD of a forward looking infrared thermal imaging system is a measure for its sensitivity level [21]. That performance parameter characterizes the sensitivity of the thermal imaging sensors.…”

Section: Digital Decodingmentioning

confidence: 99%

“…Our digital decoding method mainly includes the following steps: By means of mean square errors (MSE), mean structural similarity index (MSSIM) [19,20] and noise equivalent temperature difference (NETD) [21] evaluation indices, a comparison between the classical Wiener filtering method and our decoding method is made. The indices of MSE and MSSIM are calculated by comparing those decoded images and a reference image.…”

Section: Digital Decodingmentioning

confidence: 99%

Reduction of artefacts and noise for a wavefront coding athermalized infrared imaging system

Feng

Zhang

Shi

et al. 2016

J. Opt.

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Because of obvious drawbacks including serious artefacts and noise in a decoded image, the existing wavefront coding infrared imaging systems are seriously restricted in application. The proposed ultra-precision diamond machining technique manufactures an optical phase mask with a form manufacturing errors of approximately 770 nm and a surface roughness value Ra of 5.44 nm. The proposed decoding method outperforms the classical Wiener filtering method in three indices of mean square errors, mean structural similarity index and noise equivalent temperature difference. Based on the results mentioned above and a basic principle of wavefront coding technique, this paper further develops a wavefront coding infrared imaging system. Experimental results prove that our wavefront coding infrared imaging system yields a decoded image with good quality over a temperature range from −40°C to +70°C.

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Standard NETD test procedure for FLIR systems with video outputs

Cited by 10 publications

References 0 publications

ZnSe-material phase mask applied to athermalization of infrared imaging systems

ZnSe-material phase mask applied to athermalization of infrared imaging systems

Design, Fabrication and Analysis of a Hybrid-Order Monolithic Imaging Diffractive Lens on a Germanium Substrate

Reduction of artefacts and noise for a wavefront coding athermalized infrared imaging system

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