6.837 LECTURE 8
1. Antialiasing and Resampling 2. What is a Pixel?
3. More on Samples 4. Picturing an Image as a 2D Function
5. Sampling Grid 6. Sampling an Image
7. The Big Question 8. Convolution
9. Sampling in the Frequency Domain 10. Reconstruction
11. Aliasing 12. Sampling Theorem
13. Reconstruction Revisited 14. Gaussian Reconstruction
15. Gaussian Verdict 16. Nearest-Neighbor Reconstruction
17. Nearest-Neighbor Example 18. Problems with Reconstruction Filters
19. Is there an Ideal Reconstruction Filter? 20. Problems with a Sinc Reconstruction Filter
21. Lessons from the Sinc Function 22. Approximations with Finite Extent
23. Bilinear Example 24. Larger Extents
25. Spline Constraints 26. Bicubic Derivation
27. Bicubic Example 28. Next Time
  Lecture 8   Outline   6.837 Fall '00