Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system
Abstract The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning optical system. Aiming at solving su...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-09834-x |
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| _version_ | 1849344341213970432 |
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| author | Jian Chen Yuwei Wang Xin Ye Mo Chen Qun Zhou |
| author_facet | Jian Chen Yuwei Wang Xin Ye Mo Chen Qun Zhou |
| author_sort | Jian Chen |
| collection | DOAJ |
| description | Abstract The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning optical system. Aiming at solving super-resolution restoration problem of infrared image, self-supervised super resolution restoration algorithm is proposed and optimized. Meanwhile, reflective infrared micro-scanning optical system is introduced to break theoretical limit of simple image processing algorithm. And performance of infrared image super-resolution restoration is improved. |
| format | Article |
| id | doaj-art-5b6e64d02f6c4b50a8f05d6b7bc81b38 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-5b6e64d02f6c4b50a8f05d6b7bc81b382025-08-20T03:42:41ZengNature PortfolioScientific Reports2045-23222025-07-0115111210.1038/s41598-025-09834-xResearch on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical systemJian Chen0Yuwei Wang1Xin Ye2Mo Chen3Qun Zhou4Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of SciencesChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of SciencesChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of SciencesCollege of Communication Engineering, Jilin UniversityUniversity of Chinese Academy of SciencesAbstract The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning optical system. Aiming at solving super-resolution restoration problem of infrared image, self-supervised super resolution restoration algorithm is proposed and optimized. Meanwhile, reflective infrared micro-scanning optical system is introduced to break theoretical limit of simple image processing algorithm. And performance of infrared image super-resolution restoration is improved.https://doi.org/10.1038/s41598-025-09834-x |
| spellingShingle | Jian Chen Yuwei Wang Xin Ye Mo Chen Qun Zhou Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system Scientific Reports |
| title | Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system |
| title_full | Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system |
| title_fullStr | Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system |
| title_full_unstemmed | Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system |
| title_short | Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system |
| title_sort | research on self supervised super resolution restoration algorithm based on reflective micro scanning optical system |
| url | https://doi.org/10.1038/s41598-025-09834-x |
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