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...
Saved in:
| Main Authors: | Jian Chen, Yuwei Wang, Xin Ye, Mo Chen, Qun Zhou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-09834-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
s2ISM: A Comprehensive Approach for Uncompromised Super-Resolution and Optical Sectioning in Image Scanning Microscopy
by: Zunino Alessandro, et al.
Published: (2024-01-01) -
Super-Resolution Correlating Optical Endoscopy
by: Oskar Tamm, et al.
Published: (2024-01-01) -
Task-Driven Real-World Super-Resolution of Document Scans
by: Maciej Zyrek, et al.
Published: (2025-07-01) -
Task-driven single-image super-resolution reconstruction of document scan
by: Maciej Zyrek, et al.
Published: (2024-10-01) -
Review of The Super Resolution Microsphere Optical Imaging Technique
by: Zainab Abdali Hrata, et al.
Published: (2024-09-01)