1 / 37

Edge Preserving Super-Resolution Image Reconstruction

Edge Preserving Super-Resolution Image Reconstruction. Super-resolution. Out Line. Creation of Y k images. Simulate Creation Process of Target Images. . Simulate Creation Process of Target Images (Cont.). . Simulate Creation Process of Target Images (Cont.).

percy
Download Presentation

Edge Preserving Super-Resolution Image Reconstruction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Edge Preserving Super-Resolution Image Reconstruction

  2. Super-resolution Super-Resolution

  3. Out Line Super-Resolution

  4. Creation of Yk images Simulate Creation Process of Target Images  Super-Resolution

  5. Simulate Creation Process of Target Images (Cont.)  Super-Resolution

  6. Simulate Creation Process of Target Images (Cont.) Super-Resolution

  7. Creation of Yk Images from Source Image Super-Resolution

  8. The Super-resolution Problem as Quadratic Problem Super-Resolution

  9. Steepest-Descent Algorithm Super-Resolution

  10. Restoration Results ofSteepest-Descent Algorithm Super-Resolution

  11. Enhanced Steepest-Descent Algorithm  Super-Resolution

  12. Enhanced Steepest-Descent Algorithm (Cont.)  Super-Resolution

  13. Enhanced Steepest-Descent Algorithm (Cont.)  Super-Resolution

  14. Enhanced Steepest-Descent Algorithm (Cont.) Super-Resolution

  15. The Normalized SD algorithm Super-Resolution

  16. Restoration Results of NSD Algorithm Super-Resolution

  17. Conjugate Gradient Algorithm  Super-Resolution

  18. Conjugate Gradient Algorithm (Cont.) Super-Resolution

  19. Comparison of CG vs. NSD  Super-Resolution

  20. Comparison of CG vs. NSD (Cont.)  Super-Resolution

  21. Comparison of CG vs. NSD (Cont.) Super-Resolution

  22. Regularization Super-Resolution

  23. Regular Regularization Super-Resolution

  24. Regularization Results for Various Values of  Super-Resolution

  25. Comparison Between CG and NSD Including Regularization Super-Resolution

  26. Adaptive Regularization Super-Resolution

  27. W Matrix  Super-Resolution

  28. W Matrix (Cont.) Super-Resolution

  29. Motion Estimation Super-Resolution

  30. Motion Estimation Implementation as Iterative Algorithm Super-Resolution

  31. Input Images Super-Resolution

  32. Final Results  Super-Resolution

  33. Final Results (Cont.)  Super-Resolution

  34. Final Results (Cont.) Super-Resolution

  35. The Original Image Sampled Image The Restored Image The Original Image Sampled Image The Restored Image Aliasing Effect  Super-Resolution

  36. The Restored Image The Original Image Sampled Image Aliasing Effect (Cont.) Super-Resolution

  37. Summing Super-Resolution

More Related