AI-Based Enhancing of xBn MWIR Thermal Camera Performance at 180 Kelvin
Thermal imaging technology has revolutionized various fields, but current high operating temperature (HOT) mid-wave infrared (MWIR) cameras, particularly those based on xBn detectors, face limitations in size and cost due to the need for cooling to 150 Kelvin. This study explores the potential of ex...
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MDPI AG
2025-05-01
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| Online Access: | https://www.mdpi.com/1424-8220/25/10/3200 |
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| author | Michael Zadok Zeev Zalevsky Benjamin Milgrom |
| author_facet | Michael Zadok Zeev Zalevsky Benjamin Milgrom |
| author_sort | Michael Zadok |
| collection | DOAJ |
| description | Thermal imaging technology has revolutionized various fields, but current high operating temperature (HOT) mid-wave infrared (MWIR) cameras, particularly those based on xBn detectors, face limitations in size and cost due to the need for cooling to 150 Kelvin. This study explores the potential of extending the operating temperature of these cameras to 180 Kelvin, leveraging advanced AI algorithms to mitigate the increased thermal noise expected at higher temperatures. This research investigates the feasibility and effectiveness of this approach for remote sensing applications, combining experimental data with cutting-edge image enhancement techniques like Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN). The findings demonstrate the potential of 180 Kelvin operation for xBn MWIR cameras, particularly in daylight conditions, paving the way for a new generation of more affordable and compact thermal imaging systems. |
| format | Article |
| id | doaj-art-0129e11e30924bf98490f2de3752ecdf |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-0129e11e30924bf98490f2de3752ecdf2025-08-20T03:47:58ZengMDPI AGSensors1424-82202025-05-012510320010.3390/s25103200AI-Based Enhancing of xBn MWIR Thermal Camera Performance at 180 KelvinMichael Zadok0Zeev Zalevsky1Benjamin Milgrom2Faculty of Engineering, Institute for Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat-Gan 5290002, IsraelFaculty of Engineering, Institute for Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat-Gan 5290002, IsraelSchool of Electrical Engineering, Jerusalem College of Technology, P.O. Box 16031, Jerusalem 9372115, IsraelThermal imaging technology has revolutionized various fields, but current high operating temperature (HOT) mid-wave infrared (MWIR) cameras, particularly those based on xBn detectors, face limitations in size and cost due to the need for cooling to 150 Kelvin. This study explores the potential of extending the operating temperature of these cameras to 180 Kelvin, leveraging advanced AI algorithms to mitigate the increased thermal noise expected at higher temperatures. This research investigates the feasibility and effectiveness of this approach for remote sensing applications, combining experimental data with cutting-edge image enhancement techniques like Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN). The findings demonstrate the potential of 180 Kelvin operation for xBn MWIR cameras, particularly in daylight conditions, paving the way for a new generation of more affordable and compact thermal imaging systems.https://www.mdpi.com/1424-8220/25/10/3200xBn MWIR camera180 Kelvin operationESRGANhigh operating temperature (HOT)cost-effective thermal imagingimage quality assessment |
| spellingShingle | Michael Zadok Zeev Zalevsky Benjamin Milgrom AI-Based Enhancing of xBn MWIR Thermal Camera Performance at 180 Kelvin Sensors xBn MWIR camera 180 Kelvin operation ESRGAN high operating temperature (HOT) cost-effective thermal imaging image quality assessment |
| title | AI-Based Enhancing of xBn MWIR Thermal Camera Performance at 180 Kelvin |
| title_full | AI-Based Enhancing of xBn MWIR Thermal Camera Performance at 180 Kelvin |
| title_fullStr | AI-Based Enhancing of xBn MWIR Thermal Camera Performance at 180 Kelvin |
| title_full_unstemmed | AI-Based Enhancing of xBn MWIR Thermal Camera Performance at 180 Kelvin |
| title_short | AI-Based Enhancing of xBn MWIR Thermal Camera Performance at 180 Kelvin |
| title_sort | ai based enhancing of xbn mwir thermal camera performance at 180 kelvin |
| topic | xBn MWIR camera 180 Kelvin operation ESRGAN high operating temperature (HOT) cost-effective thermal imaging image quality assessment |
| url | https://www.mdpi.com/1424-8220/25/10/3200 |
| work_keys_str_mv | AT michaelzadok aibasedenhancingofxbnmwirthermalcameraperformanceat180kelvin AT zeevzalevsky aibasedenhancingofxbnmwirthermalcameraperformanceat180kelvin AT benjaminmilgrom aibasedenhancingofxbnmwirthermalcameraperformanceat180kelvin |