A hybrid approach to non-uniformity correction of large format emitter arrays

LaVeigne, Joe; Prewarski, Marcus; Franks, Gregory; McHugh, Steve

doi:10.1117/12.922981

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…The three basic steps of non-uniformity correction (NUC) may be performed using an iterative approach, with each successive round of data collection producing more uniform data. Further developments in iterative NUC [8] employ a hybrid strategy for correcting array non-uniformities. In this hybrid approach, data is collected using "flood" measurements at low radiance levels (often just a few degrees above the simulated temperature floor), and "sparse grid" measurements at higher radiance levels.…”

Section: Introductionmentioning

confidence: 99%

Advances in iterative non-uniformity correction techniques for infrared scene projection

et al. 2015

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Santa Barbara Infrared (SBIR) is continually developing improved methods for non-uniformity correction (NUC) of its Infrared Scene Projectors (IRSPs) as part of its comprehensive efforts to achieve the best possible projector performance. The most recent step forward, Advanced Iterative NUC (AI-NUC), improves upon previous NUC approaches in several ways. The key to NUC performance is achieving the most accurate possible input drive-toradiance output mapping for each emitter pixel. This requires many highly-accurate radiance measurements of emitter output, as well as sophisticated manipulation of the resulting data set. AI-NUC expands the available radiance data set to include all measurements made of emitter output at any point. In addition, it allows the user to efficiently manage that data for use in the construction of a new NUC table that is generated from an improved fit of the emitter response curve. Not only does this improve the overall NUC by offering more statistics for interpolation than previous approaches, it also simplifies the removal of erroneous data from the set so that it does not propagate into the correction tables. AI-NUC is implemented by SBIR's IRWindows4 automated test software as part its advanced turnkey IRSP product (the Calibration Radiometry System or CRS), which incorporates all necessary measurement, calibration and NUC table generation capabilities. By employing AI-NUC on the CRS, SBIR has demonstrated the best uniformity results on resistive emitter arrays to date.

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Section: Introductionmentioning

confidence: 99%

Advances in iterative non-uniformity correction techniques for infrared scene projection

et al. 2015

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“…Currently, the look-up table (LUT) method is used to reduce the nonuniformity at each pixel [8][9][10][11][12][13][14]; however, as the radiance range of the overall pixels must be standardized to alower value to achieve uniform radiation, the performance of this method is hindered for a wide radiance range of IRSPs. Therefore, to obtain high-quality IR images for wide radiance ranges, a nonuniformity reduction in emitters and ICs is required in addition to external correction.…”

Section: Introductionmentioning

confidence: 99%

Nonuniformity-Immune Read-In Integrated Circuit for Infrared Sensor Testing Systems

2020

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In this study, a novel IR projector driver that can minimize nonuniformity in electric circuits, using a dual-current-programming structure, is proposed to generate high-quality infrared (IR) scenes for accurate sensor evaluation. Unlike the conventional current-mode structure, the proposed system reduces pixel-to-pixel nonuniformity by assigning two roles (data sampling and current driving) to a single transistor. A prototype of the proposed circuit was designed and fabricated using the SK-Hynix 0.18 µm CMOS process, and its performance was analyzed using post-layout simulation data. It was verified that nonuniformity, which is defined as the standard deviation divided by the mean radiance, could be reduced from 21% to less than 0.1%.

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A hybrid approach to non-uniformity correction of large format emitter arrays

Cited by 2 publications

References 8 publications

Advances in iterative non-uniformity correction techniques for infrared scene projection

Advances in iterative non-uniformity correction techniques for infrared scene projection

Nonuniformity-Immune Read-In Integrated Circuit for Infrared Sensor Testing Systems

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