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High dynamic range infrared thermography by pixelwise radiometric self calibration

INFRARED PHYSICS & TECHNOLOGY 2010年第2期53卷 112-119页

作者： Ochs, M. Schulz, A. Bauer, H. -J. Univ Karlsruhe TH Lehrstuhl Therm Stroemungsmaschinen D-76128 Karlsruhe Germany Univ Karlsruhe TH Inst Therm Stroemungsmaschinen D-76128 Karlsruhe Germany

A procedure is described where the response function of each pixel of an InSb detector is determined by radiometric self-calibration. With the present approach no knowledge of the spectral characteristics of the IR system is required to recover a quantity which is linear with the incident irradiance of the object. The inherent detector non-uniformity is corrected on the basis of self-calibrated scaled irradiance. Compared to the standard two-point non-uniformity correction procedure - performed with the detector signal - only two NUC-tables are required for arbitrary integration times. Images obtained at various exposures are fused to a single high dynamic range image. The procedure is validated with synthetic data and its performance is demonstrated by measurements performed with a high resolution InSb FPA. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Radiometric self-calibration High dynamic range Infrared thermography Non-uniformity correction (NUC) irfpa processing InSb

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Nonuniformity correction of infrared image sequences using the constant-statistics constraint

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IEEE TRANSACTIONS ON IMAGE processing 1999年第8期8卷 1148-1151页

作者： Harris, JG Chiang, YM Univ Florida Dept Elect & Comp Engn Comp Neuroengn Lab Gainesville FL 32611 USA Hewlett Packard Co VLSI Technol Ctr Ft Collins CO 80525 USA

Using clues from neurobiological adaptation, we have developed the constant-statistics (CS) algorithm for nonuniformity correction of irfpa's and other imaging arrays, The CS model provides an efficient implementation that can also eliminate much of the ghosting artifact that plagues all scene-based nonuniformity correction (NUC) algorithms. The CS algorithm with deghosting is demonstrated on synthetic and real infrared (IR) sequences and shown to improve the overall accuracy of the correction procedure.

关键词： ghosting artifact infrared images irfpa processing nonuniformity correction

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Minimizing the "ghosting" artifact in scene-based nonuniformity correction

Minimizing the "ghosting" artifact in scene-based nonuniform...

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Infrared Imaging System - Design, Analysis, Modeling, and Testing IX

作者： Harris, JG Chiang, YM Univ Florida ECE Dept Computat NeuroEngn Lab Gainesville FL 32611 USA

ISBN: (纸本)0819428264

Current infra-red focal point arrays (irfpas) are limited by their inability to calibrate out component variations.(1) Nonuniformity correction (NUC) techniques have been developed and implemented in off-board digital hardware to perform the necessary calibration for most IR sensing applications. There are two possible types of NUC that can be considered for focal-plane integration: (1) Two-point correction using calibrated images on startup and (2) Scene-based techniques that continually recalibrate the sensor for parameter drifts. The problems with the two-point methods have been well-documented in the literature (parameter drift, expense, etc.) We address the two major problems of scene-based techniques: (1) a more difficult hardware implementation and (2) ghosting artifacts in the corrected images. We have previously addressed the implementation problems by developing and demonstrating special purpose analog hardware as well as an efficient digital algorithm that incorporates the constant statistics model. The ghosting artifact occurs in all scene-based techniques when an object that does not move enough tends to "burn in" and can remain visible for thousands of images after the object has left the field of view. We have improved our model to eliminate much of the ghosting artifact that plagues all scene-based NUC algorithms. By modifying the correction update during ghosting situations, we are able to significantly remove the ghosting artifact and improve the overall accuracy of the correction procedure. We demonstrate these results on real and synthetic image sequences.

关键词： nonuniformity correction irfpa processing ghosting artifact

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Nonuniformity correction using the constant-statistics constraint: Analog and digital implementations

Nonuniformity correction using the constant-statistics const...

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Infrared Technology and Applications XXIII Conference

作者： Harris, JG Chiang, YM Univ. of Florida (United States)

ISBN: (纸本)0819424765

Current infra-red focal point arrays (irfpas) are limited by their inability to calibrate out component variations. Typically, off-board digital calibration is used to correct nonuniformities in these detector arrays;special calibration images are used to calibrate the system at startup. One-time calibration procedures such as these do not take into account other operating points and will fail to recalibrate for any drift in the parameters. Using clues from neurobiological adaptation, we have developed the constant-statistics (CS) algorithm for nonuniformity correction of irfpas. Gain and offset variations are successfully calibrated using simple assumptions of the scene under view. We give results for calibration of 1D and 2D images using a digital implementation. We also show that the constant-statistics algorithm compares favorably to an existing LMS-based nonuniformity correction algorithm by Scribner(1) in terms of convergence rate and computational complexity. Finally, we review the results of analog circuitry that was designed and fabricated with a 2um CMOS technology. Measured results from our test-chip show that the system achieves invariance to gain and offset variations of the input signal. This hardware is targeted for eventual use for in-and behind-the focal plane implementations.

关键词： nonuniformity correction irfpa processing analog hardware

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