Shutter-less Non-uniformity Correction Methods in Uncooled Infrared Imagery

HUANG Yuanfei; HUANG Hua

doi:10.11999/JEIT231400

Volume 46 Issue 5

May 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(5): 2198-2216

HUANG Yuanfei, HUANG Hua. Shutter-less Non-uniformity Correction Methods in Uncooled Infrared Imagery[J]. Journal of Electronics & Information Technology, 2024, 46(5): 2198-2216. doi: 10.11999/JEIT231400

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HUANG Yuanfei, HUANG Hua. Shutter-less Non-uniformity Correction Methods in Uncooled Infrared Imagery[J]. Journal of Electronics & Information Technology, 2024, 46(5): 2198-2216. doi: 10.11999/JEIT231400

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Shutter-less Non-uniformity Correction Methods in Uncooled Infrared Imagery

doi: 10.11999/JEIT231400

HUANG Yuanfei,
HUANG Hua^,

School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China

Funds: The National Natural Science Foundation of China (62202056)

Received Date: 2023-12-19
Rev Recd Date: 2024-05-11

Available Online: 2024-05-13

Publish Date: 2024-05-10

Abstract

Abstract

Due to the limitations of imaging principles and processing technology, uncooled infrared imagery detectors suffer from serious non-uniformities, damaging the imaging results. To improve the quality of infrared images, non-uniformity correction techniques are of great significance for practical applications. According to the physical formation and spatial characteristics of the non-uniformity in uncooled infrared imagery detectors, this paper divides these common non-uniformities into three categories: low-frequency non-uniformity, shot non-uniformity, and stripe non-uniformity. The physical mechanisms of these non-uniformities are further explored from the procedure in the optical system, thermal materials, and amplifier circuit of the uncooled infrared imagery detector. Then, the existing shutter-less non-uniformity correction methods are systematically summarized. Based on the principles of the methods, statistical-based, filter-based, optimization-based, and learning-based non-uniformity correction methods are categorized. Besides, the specifics of each method in dealing with different non-uniformities are clarified and distinguished. Finally, the existing problems in the current methods are reviewed and summarized, and the development trend of non-uniformity correction methods in future practical applications is prospected.
- Uncooled infrared imagery,
- Non-uniformity correction,
- Imaging mechanism,
- Image denoising

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References(102)

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