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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.).

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Edge Preserving Super-Resolution Image Reconstruction

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  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

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