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Input Image

Input Image. Rectified Crop. Deblurred Result. Input Photo. Deblurred Result. Traditional Camera Shutter is OPEN. Our Camera Flutter Shutter. Shutter is OPEN and CLOSED. Comparison of Blurred Images. Implementation Completely Portable. Lab Setup. Blurring == Convolution.

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Input Image

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Presentation Transcript

  1. Input Image

  2. Rectified Crop Deblurred Result

  3. Input Photo Deblurred Result

  4. Traditional Camera Shutter is OPEN

  5. Our Camera Flutter Shutter

  6. Shutter is OPEN and CLOSED

  7. Comparison of Blurred Images

  8. Implementation Completely Portable

  9. Lab Setup

  10. Blurring == Convolution Sync Function Traditional Camera: Box Filter

  11. Preserves High Frequencies!!! Flutter Shutter: Coded Filter

  12. Comparison

  13. Inverse Filter stable Inverse Filter Unstable

  14. Long Exposure Coded Exposure Short Exposure Our result Matlab Lucy Ground Truth

  15. Hybrid Camera Stabilization Related Work

  16. Hybrid Camera Stabilization Blind Deconvolution

  17. Our Contribution Previous Work

  18. Motion Blur as Convolution

  19. Convolution == Linear System ? ? ?

  20. Solving: Single Line of Matlab Code No Post Processing!

  21. Are all codes “good”? All ones Alternate Random Our Code

  22. Need to consider zero padded codes!!!

  23. License Plate Retrieval

  24. License Plate Retrieval

  25. . • . Background Cases

  26. × Cannot handle background edges in blur

  27. Removing Camera Shake

  28. Removing Camera Shake

  29. Acknowledgements

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