Calibration Method for Flickering Pixels under Compound Condition Operating Points of IRFPA Detector

Wenxin ZHAO; Xuefeng LAI; Yucheng XIA; Sujun LI; Jinmei ZHOU

doi:10.3788/gzxb20245302.0204002

Acta Photonica Sinica, Volume. 53, Issue 2, 0204002(2024)

Calibration Method for Flickering Pixels under Compound Condition Operating Points of IRFPA Detector

Wenxin ZHAO^1,2, Xuefeng LAI^1、*, Yucheng XIA¹, Sujun LI¹, and Jinmei ZHOU¹

Author Affiliations

¹Institute of Optics and Electronics，Chinese Academy of Sciences，Chengdu 610209，China

²University of Chinese Academy of Sciences，School of Electronic，Electrical and Communication Engineering，Beijing 100049，China

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Figures & Tables(10)

Fig. 1. Structure diagram of HgCdTe detector

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Fig. 2. Time domain diagram and noise power spectral density diagram of flickering pixels and normal pixel

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Fig. 3. Average gray-level changes under different operating points of normal pixel and flickering pixel

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Fig. 4. Noise curves of flickering pixel under compound condition operating points，the operating points arranged according to the average temporal noise

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Fig. 5. Timing waveforms of flickering pixel under compound condition operating points，the operating points arranged according to the average temporal noise

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Fig. 6. Diagram of detection method

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Fig. 7. The $η_{i, j}$ corresponding to the independent detection of flickering pixel in the energy image and the independent detection of flickering pixel in the gray-level image

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Table 1. The calibration method for flickering pixels

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Table 1. The calibration method for flickering pixels

Input：Sequential gray-level images：X（width，height，temperature，integration time，samples）

Initialization：Coefficient of energy image calculation： $h_{d e t}, h_{s}, η,$ ；Integration time：t；Threshold：cth

for i-th temperature

for i-th integration time

Calculate sequential energy images L：L $= \frac{X}{t ∙ η} - \frac{h_{d e t}}{t ∙ η} - \frac{h_{s}}{η}$

sigmaX=std（X （：，：，i，j，：），0，5）；

sigmaL=std（L（：，：，i，j，：），0，5）；

meansigmaX=mean（sigmaX，'all'）；

meansigmaL=mean（sigmaL，'all'）；

mapL=zeros（width，height）；

mapX=zeros（width，height）；

mapL（find（sigmaX>cth* meansigmaX））=1；

mapX（find（sigmaL>cth* meansigmaL））=1；

map=find（（mapL+mapX）>0）；

flickerallmap（：，：，i，j）=map；

end

flickermap=find（sum（flickerallmap）>0）；

Output：flickermap

Table 2. Number of flickering pixel detected at each operating point

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Table 2. Number of flickering pixel detected at each operating point

Temperature Integrationtime	320 $μ s$			640 $μ s$			960 $μ s$			1 280 $μ s$
Temperature Integrationtime	A	B	Increase rate	A	B	Increase rate	A	B	Increase rate	A	B	Increase rate
303 K	195	210	7.69%	176	192	9.09%	162	172	6.17%	121	135	11.57%
313 K	185	195	5.41%	158	169	6.96%	127	135	6.30%	102	114	11.76%
323 K	174	187	7.47%	125	136	8.80%	93	104	11.83%	86	106	23.26%
333 K	141	157	11.35%	96	108	12.50%	75	92	22.67%	72	87	20.83%
343 K	133	145	9.02%	72	87	20.83%	69	84	21.74%	48	55	14.58%

Table 3. Comparison of detection results of various methods under compound condition operating points
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Table 3. Comparison of detection results of various methods under compound condition operating points
Method Number
2 times the average fluctuation amplitude 391
2 times the average noise equivalent temperature difference 505
2 times the average gray-level temporal noise 521
Our method 570

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Wenxin ZHAO, Xuefeng LAI, Yucheng XIA, Sujun LI, Jinmei ZHOU. Calibration Method for Flickering Pixels under Compound Condition Operating Points of IRFPA Detector[J]. Acta Photonica Sinica, 2024, 53(2): 0204002

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