Infrared image super resolution with structure prior from uncooled infrared readout circuit
Abstract Infrared images, rich in temperature information, have a broad range of applications. However, limitations in infrared imaging mechanisms and the manufacturing processes typically prevent uncooled infrared detector arrays from exceeding a resolution of one megapixel. Consequently, designing...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-16698-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849226265440026624 |
|---|---|
| author | Kai Che Jian Lv Jia Wei Jiayuan Gong Longcheng Que Yun Zhou |
| author_facet | Kai Che Jian Lv Jia Wei Jiayuan Gong Longcheng Que Yun Zhou |
| author_sort | Kai Che |
| collection | DOAJ |
| description | Abstract Infrared images, rich in temperature information, have a broad range of applications. However, limitations in infrared imaging mechanisms and the manufacturing processes typically prevent uncooled infrared detector arrays from exceeding a resolution of one megapixel. Consequently, designing an efficient infrared image Super-Resolution (SR) algorithm is of significant importance. In this paper, we draw inspiration from the readout circuit structure prior to Uncooled Infrared Focal Plane Arrays (IRFPA), which scans infrared signals row by row and reads them out column by column. We propose an efficient Row-Column Transformer Block (RCTB) that splits features into rows and columns to effectively capture the spatio-temporal correlation between row-column pixels. Acknowledging the continuity of temperature information within the image and the correlation between adjacent pixel regions, we develop a Compact Convolution Block (CCB) that incorporates a U-shape Spatial Channel Attention Block (USCAB) to extract local features before the RCTB. During the training phase, we introduce a regularization control term into the loss function to enhance the reconstruction details of the infrared image. Building on these components, we propose a hybrid network named Efficient Infrared Image Super-Resolution (EIRSR), which achieves an excellent balance between performance and efficiency in terms of parameters and computational costs. Furthermore, we scale the model to create a family of variants, collectively known as EIRSRs. Extensive experiments demonstrate that EIRSR delivers competitive performance while maintaining a compact structure compared to superior methods. |
| format | Article |
| id | doaj-art-3caf25a16eaa40ef80b0730fd4eef485 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-3caf25a16eaa40ef80b0730fd4eef4852025-08-24T11:30:22ZengNature PortfolioScientific Reports2045-23222025-08-0115111710.1038/s41598-025-16698-8Infrared image super resolution with structure prior from uncooled infrared readout circuitKai Che0Jian Lv1Jia Wei2Jiayuan Gong3Longcheng Que4Yun Zhou5School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of ChinaSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of ChinaSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of ChinaInstitute of Automotive Engineers, Hubei University of Automotive TechnologySchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of ChinaSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of ChinaAbstract Infrared images, rich in temperature information, have a broad range of applications. However, limitations in infrared imaging mechanisms and the manufacturing processes typically prevent uncooled infrared detector arrays from exceeding a resolution of one megapixel. Consequently, designing an efficient infrared image Super-Resolution (SR) algorithm is of significant importance. In this paper, we draw inspiration from the readout circuit structure prior to Uncooled Infrared Focal Plane Arrays (IRFPA), which scans infrared signals row by row and reads them out column by column. We propose an efficient Row-Column Transformer Block (RCTB) that splits features into rows and columns to effectively capture the spatio-temporal correlation between row-column pixels. Acknowledging the continuity of temperature information within the image and the correlation between adjacent pixel regions, we develop a Compact Convolution Block (CCB) that incorporates a U-shape Spatial Channel Attention Block (USCAB) to extract local features before the RCTB. During the training phase, we introduce a regularization control term into the loss function to enhance the reconstruction details of the infrared image. Building on these components, we propose a hybrid network named Efficient Infrared Image Super-Resolution (EIRSR), which achieves an excellent balance between performance and efficiency in terms of parameters and computational costs. Furthermore, we scale the model to create a family of variants, collectively known as EIRSRs. Extensive experiments demonstrate that EIRSR delivers competitive performance while maintaining a compact structure compared to superior methods.https://doi.org/10.1038/s41598-025-16698-8 |
| spellingShingle | Kai Che Jian Lv Jia Wei Jiayuan Gong Longcheng Que Yun Zhou Infrared image super resolution with structure prior from uncooled infrared readout circuit Scientific Reports |
| title | Infrared image super resolution with structure prior from uncooled infrared readout circuit |
| title_full | Infrared image super resolution with structure prior from uncooled infrared readout circuit |
| title_fullStr | Infrared image super resolution with structure prior from uncooled infrared readout circuit |
| title_full_unstemmed | Infrared image super resolution with structure prior from uncooled infrared readout circuit |
| title_short | Infrared image super resolution with structure prior from uncooled infrared readout circuit |
| title_sort | infrared image super resolution with structure prior from uncooled infrared readout circuit |
| url | https://doi.org/10.1038/s41598-025-16698-8 |
| work_keys_str_mv | AT kaiche infraredimagesuperresolutionwithstructurepriorfromuncooledinfraredreadoutcircuit AT jianlv infraredimagesuperresolutionwithstructurepriorfromuncooledinfraredreadoutcircuit AT jiawei infraredimagesuperresolutionwithstructurepriorfromuncooledinfraredreadoutcircuit AT jiayuangong infraredimagesuperresolutionwithstructurepriorfromuncooledinfraredreadoutcircuit AT longchengque infraredimagesuperresolutionwithstructurepriorfromuncooledinfraredreadoutcircuit AT yunzhou infraredimagesuperresolutionwithstructurepriorfromuncooledinfraredreadoutcircuit |