Laser & Optoelectronics Progress, Volume. 59, Issue 20, 2011010(2022)
End-to-End Computational Imaging Based on Multispectral Fusion
Fig. 1. Example of camera imaging
Fig. 2. Example of camera response curves
Fig. 3. Implementation flow chart of the proposed method
Fig. 4. Multispectral fusion algorithm block
Fig. 5. Structure of U-Net model
Fig. 6. Flow chart of the perceptual loss
Fig. 7. Preprocessed data and ground truth
Fig. 8. Comparison of experimental results
Fig. 9. Image edge evaluation
Fig. 10. Color reconstruction evaluation
Fig. 11. Image detail evaluation
Fig. 12. Real multispectral data imaging test
Fig. 13. Comparison of different input data in ablation experiment
Fig. 14. Output comparison of networks with different structures
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Yilan Nan, Junfei Shen, Qican Zhang. End-to-End Computational Imaging Based on Multispectral Fusion[J]. Laser & Optoelectronics Progress, 2022, 59(20): 2011010
Category: Imaging Systems
Received: Aug. 15, 2022
Accepted: Sep. 9, 2022
Published Online: Oct. 13, 2022
The Author Email: Shen Junfei (shenjunfei@scu.edu.cn)