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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| Format: | Article |
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IEEE
2024-01-01
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| 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. |
| format | Article |
| id | doaj-art-2f6242de90514a8fb0f54794d50f04a2 |
| 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 |