A self-adaptive nonuniformity correction algorithm for infrared images combined with two-point correction along the rim

Liu, Chongliang; Jin, Weiqi; Chen, Yan; Liu, Bin; Cao, Yang; Liu, Xiu

doi:10.1109/compsym.2010.5685510

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…The light input of the camera is adjusted by controlling the exposure time when the brightness of the light is kept constant. The gray value of bright field image is the sum of those of background image and light response signal, as shown in formula (4) In this equation, i, j is the ith row and jth column of the pixel in the image; A (unit: photons/s) is the coefficient related to the brightness of the light source; t exp is the exposure time; image dark0 is the background image;…”

Section: Determination Of Comprehensive Correction Function Non-unifmentioning

confidence: 99%

“…In the process of true multiplier gain measurement, the effective signal is both affected by the non-uniformity of background and optical response, which leads to the difference between the actual measurement and the true multiplier gain. At present, the research on non-uniformity correction mainly focuses on infrared imaging and common CCD imaging [4][5][6][7][8][9][10][11] . The related scientific research of EMCCD mainly concentrates on the application of weak light imaging in astronomical observation [12][13][14][15][16][17][18][19] , biomedical [20][21][22][23][24][25][26] and other fields.…”

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confidence: 99%

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A method for EMCCD multiplication gain measurement with comprehensive correction

Qiao

Wang

Zhu

2021

Sci Rep

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In order to improve the image quality, it is imperative to conduct the non-uniformity correction of EMCCD, for which the measurement accuracy of the internal electron multiplication gain of each channel is a prerequisite within multi-channel output EMCCD. It is known that the smaller the image standard deviation of each channel, the better the image uniformity, and the closer the calculated multiplier gain is to the real value. In order to minimize the influence of non-uniformity of background between pixels and light response existing in traditional measurement, a comprehensively modified EMCCD multiplication gain measurement is proposed after the working principle of EMCCD is described. The output images of the camera working in the normal CCD mode and EMCCD mode are corrected comprehensively through this method. The experimental results show that after the comprehensive correction, the standard deviation of the output image of each channel within the camera decreases to about one third of the original when the camera works in the normal CCD mode, while it decreases to about one fifth of the original when the camera works in the EMCCD mode, the signal stability is significantly improved, and the measured multiplier gain of each channel is closer to the true value of the detector, which proves the effectiveness of the proposed method.

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Section: Determination Of Comprehensive Correction Function Non-unifmentioning

confidence: 99%

mentioning

confidence: 99%

A method for EMCCD multiplication gain measurement with comprehensive correction

Qiao

Wang

Zhu

2021

Sci Rep

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“…This two methods' correction accuracy are close to TPC of CBNUC. Liu [6] improved ASBA, use TPC model for not only perimeter detectors but also interior detectors. The algorithm is able to achieve a result close to TPC of CBNUC.…”

Section: Introductionmentioning

confidence: 99%

“…On the strength of Literature [4], [5] and [6], we propose an infrared imaging radiometric calibration and nonuniformity correction technology based on the U-shaped blackbody. Regarding the two-point correction along the U-shaped blackbody rim and the shifts between adjacent frames as the initial conditions, nonuniformity correction can be achieved according to the principle of signaling parameters from outer to inner side, and the calibration accuracy can be obviously improved.…”

Section: Introductionmentioning

confidence: 99%

Infrared nonuniformity correction and radiometric calibration technology using U-shaped blackbody

Jin¹,

Liu²,

Xiu³

2011

SPIE Proceedings

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A nonuniformity correction and radiometric calibration algorithm for infrared focal plane array is presented, combined with two-point correction along the U-shaped blackbody rim. The format of Infrared Focal-Plane Array (IRFPA) is larger and larger now; however, due to technical limitations and material defects in production, the drift of the IRFPA response during their working is unavailable. It will leads to non-uniformity of the thermal imaging systems which has become an important affect element of the efficiency for the practical use of the thermal imaging equipments. Point to the problems of traditional radiation calibration and correction methods, we proposed a dynamic infrared calibration and correction technology using U-shaped blackbody. With the help of blackbody in low and high temperature, two-point correction is executed initially to perimeter detectors. Then based on the scene information and shift between adjacent frames, a special algebraic algorithm is proposed to transport correction parameters from perimeter detectors to those interior un-corrected ones. In this way, the correction parameters of the whole field of view (FOV) are calculated. The temperature of the U-shaped blackbody is controllable, so dynamic infrared calibration can be done after nonuniformity correction to modification the drift of the original calibration table. A U-shaped blackbody is designed and an experimental platform is built to evaluate the algorithm. The U-shaped perimeter blackbody is designed to be able to scale out periodically so as to continuously update the correction parameters. It proves to be able to achieve two-point correction for accuracy, without covering the central FOV.

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“…Basically, SBNUC assumes that incident scene flux is constant to each detector over time. 14 Recently, Zuo et al proposed a multiscale constant statistics-based SBNUC method, which shows low computational complexity and good tradeoff between the convergence rate and correction precision. The pioneering work is the constant statistics method.…”

Section: Introductionmentioning

confidence: 99%

Two-point correction and minimum filter-based nonuniformity correction for scan-based aerial infrared cameras

Kim

2012

Opt. Eng

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Two-point correction-based nonuniformity correction of a scanbased long wave infrared camera can be successful in normal working environments. However, the method produces strong fixed-pattern noise in cluttered aerial environments. We analyze the mechanism of such phenomena and propose a nonuniformity correction method by combining a reference-based approach and a nonlinear filter-based residual offset estimation method. The nonlinear filtering process of row directional minimum filtering after two-point correction can remove the nonuniformity around cluttered aerial infrared images. Experimental results validate the feasibility of the proposed method.

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A self-adaptive nonuniformity correction algorithm for infrared images combined with two-point correction along the rim

Cited by 5 publications

References 3 publications

A method for EMCCD multiplication gain measurement with comprehensive correction

A method for EMCCD multiplication gain measurement with comprehensive correction

Infrared nonuniformity correction and radiometric calibration technology using U-shaped blackbody

Two-point correction and minimum filter-based nonuniformity correction for scan-based aerial infrared cameras

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