Learning to See in the Dark - Extreme Low Light Imaging Techniques

Learning to See in the Dark - Extreme Low Light Imaging Techniques

UCF CRCV via YouTube Direct link

ISO (International Standards Organization)

3 of 23

3 of 23

ISO (International Standards Organization)

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Learning to See in the Dark - Extreme Low Light Imaging Techniques

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  1. 1 Problem: Extreme Low Light Imaging
  2. 2 Related work
  3. 3 ISO (International Standards Organization)
  4. 4 Other Solutions Can we change the camera configuration?
  5. 5 Problem Description Using deep learning data driven approach to achieve low light imaging
  6. 6 Contributions
  7. 7 See-in-the-Dark Dataset
  8. 8 Camera Setup - Output
  9. 9 Amplification Factor (y)
  10. 10 Bayer Array
  11. 11 X-Trans vs. Bayer
  12. 12 Network Architecture - Training
  13. 13 ConvNet Block - UNet
  14. 14 Experimental Evaluation
  15. 15 Experiment 1a - Perceptual
  16. 16 Baseline Methods - Denoising
  17. 17 Experiment 1b: Qualitative - Traditional
  18. 18 Experiment 1b : Qualitative - BM3D
  19. 19 Experiment 2: Qualitative - Smartphones
  20. 20 Evaluation Metrics
  21. 21 Quantitative Results
  22. 22 Conclusion
  23. 23 Ending Remarks

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