Convolutional Neural Network Training for RGBN Camera Color Restoration Using Generated Image Pairs
RGBN cameras that can capture visible light and near-infrared (NIR) light simultaneously produce better color image quality in low-light-level conditions. However, these RGBN cameras introduce additional color bias caused by the mixing of visible information and NIR information. The color correction...
Saved in:
| Main Authors: | Zhenghao Han, Li Li, Weiqi Jin, Xia Wang, Gangcheng Jiao, Hailin Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9200786/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Television camera of the visible and near-infrared ranges
by: P. S. Baranov, et al.
Published: (2015-08-01) -
Multi-Band NIR Colorization via Dual-Teacher Color and Structure Distillation
by: Tae-Sung Park, et al.
Published: (2025-01-01) -
Evaluation of Color Performance of Video Cameras for Poultry House Monitoring Applications
by: CY Chou, et al.
Published: (2025-05-01) -
Design and Development of a Color Picker System to Integrate in POC Device Systems
by: Serafinelli Caterina, et al.
Published: (2024-01-01) -
Comparison of RGB and multispectral cameras for targeted applications in agriculture
by: Jaroslav Pinkas, et al.
Published: (2024-12-01)