Nonuniformity Correction Method of Infrared Detector Based on Statistical Properties

The images captured by a plane-array type infrared detector, formed by integrating a large-scale probe array and readout circuits via interconnection, is distorted by two types of superimposed nonuniform noises caused by the probe and readout circuitry. These nonuniform noises arise from the detecto...

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Main Authors: Li Dandan, Ding Xiang, Chai Mengyang, Ma Chao, Sun Dexin
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Photonics Journal
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Online Access:https://ieeexplore.ieee.org/document/10440433/
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author Li Dandan
Ding Xiang
Chai Mengyang
Ma Chao
Sun Dexin
author_facet Li Dandan
Ding Xiang
Chai Mengyang
Ma Chao
Sun Dexin
author_sort Li Dandan
collection DOAJ
description The images captured by a plane-array type infrared detector, formed by integrating a large-scale probe array and readout circuits via interconnection, is distorted by two types of superimposed nonuniform noises caused by the probe and readout circuitry. These nonuniform noises arise from the detector's constituent materials, fabrication processes, and other defects. In addition, the output response of an infrared detector is limited by the dynamic range of the circuit, the low and high ends of the output signal exhibit strong nonlinearities. To overcome the impact of detector response nonlinearity and achieve simultaneous correction for two different types of nonuniformities in infrared images, in this study, we proposed a novel correction method. First, the pixel points of all images are reordered according to their pixel values to provide a uniform reorganisation data. Then, the linear correlated region based on the recombined data is extracted using a judgment algorithm that processes the linear correlations of multiple regions to simulate the detector's response curve and find the nonuniformity correction coefficient of each pixel. Experiments on simulated noisy and real images show that our method accurately eliminates nonuniform IR noise without causing blurring and provides optimal peak signal-to-noise ratio and structural similarity.
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institution Kabale University
issn 1943-0655
language English
publishDate 2024-01-01
publisher IEEE
record_format Article
series IEEE Photonics Journal
spelling doaj-art-2f6242de90514a8fb0f54794d50f04a22025-01-24T00:00:21ZengIEEEIEEE Photonics Journal1943-06552024-01-011621810.1109/JPHOT.2024.336799710440433Nonuniformity Correction Method of Infrared Detector Based on Statistical PropertiesLi Dandan0https://orcid.org/0000-0003-4121-6310Ding Xiang1https://orcid.org/0009-0002-4840-5229Chai Mengyang2https://orcid.org/0009-0001-9240-3557Ma Chao3https://orcid.org/0009-0001-4924-9443Sun Dexin4https://orcid.org/0000-0002-8611-939XState Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, ChinaBeijing Institute of Tracking and Telecommunication Technology, Beijing, ChinaState Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, ChinaState Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, ChinaState Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, ChinaThe images captured by a plane-array type infrared detector, formed by integrating a large-scale probe array and readout circuits via interconnection, is distorted by two types of superimposed nonuniform noises caused by the probe and readout circuitry. These nonuniform noises arise from the detector's constituent materials, fabrication processes, and other defects. In addition, the output response of an infrared detector is limited by the dynamic range of the circuit, the low and high ends of the output signal exhibit strong nonlinearities. To overcome the impact of detector response nonlinearity and achieve simultaneous correction for two different types of nonuniformities in infrared images, in this study, we proposed a novel correction method. First, the pixel points of all images are reordered according to their pixel values to provide a uniform reorganisation data. Then, the linear correlated region based on the recombined data is extracted using a judgment algorithm that processes the linear correlations of multiple regions to simulate the detector's response curve and find the nonuniformity correction coefficient of each pixel. Experiments on simulated noisy and real images show that our method accurately eliminates nonuniform IR noise without causing blurring and provides optimal peak signal-to-noise ratio and structural similarity.https://ieeexplore.ieee.org/document/10440433/Infrared detectornonuniformity noisecorrectionfocal-plane detector arrayreadoutnonlinearities
spellingShingle Li Dandan
Ding Xiang
Chai Mengyang
Ma Chao
Sun Dexin
Nonuniformity Correction Method of Infrared Detector Based on Statistical Properties
IEEE Photonics Journal
Infrared detector
nonuniformity noise
correction
focal-plane detector array
readout
nonlinearities
title Nonuniformity Correction Method of Infrared Detector Based on Statistical Properties
title_full Nonuniformity Correction Method of Infrared Detector Based on Statistical Properties
title_fullStr Nonuniformity Correction Method of Infrared Detector Based on Statistical Properties
title_full_unstemmed Nonuniformity Correction Method of Infrared Detector Based on Statistical Properties
title_short Nonuniformity Correction Method of Infrared Detector Based on Statistical Properties
title_sort nonuniformity correction method of infrared detector based on statistical properties
topic Infrared detector
nonuniformity noise
correction
focal-plane detector array
readout
nonlinearities
url https://ieeexplore.ieee.org/document/10440433/
work_keys_str_mv AT lidandan nonuniformitycorrectionmethodofinfrareddetectorbasedonstatisticalproperties
AT dingxiang nonuniformitycorrectionmethodofinfrareddetectorbasedonstatisticalproperties
AT chaimengyang nonuniformitycorrectionmethodofinfrareddetectorbasedonstatisticalproperties
AT machao nonuniformitycorrectionmethodofinfrareddetectorbasedonstatisticalproperties
AT sundexin nonuniformitycorrectionmethodofinfrareddetectorbasedonstatisticalproperties