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Lecture 10 PowerPoint Presentation

Lecture 10

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Lecture 10

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  1. Lecture 10 Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002.

  2. DFT of Laplacian

  3. Chapter 4 Image Enhancement in the Frequency Domain

  4. Chapter 4 Image Enhancement in the Frequency Domain

  5. High Boost Filtering

  6. Chapter 4 Image Enhancement in the Frequency Domain

  7. A picture from the news Before and after Lapacian filter, picture of giant squid by Japanese scientists

  8. The tackiest pictures I could find Original After Laplacian Filter

  9. After High Boost Filter A=1.7 A=1.4

  10. High Frequency Emphasis

  11. Chapter 4 Image Enhancement in the Frequency Domain

  12. Homomorphic Filtering

  13. Chapter 4 Image Enhancement in the Frequency Domain

  14. Chapter 4 Image Enhancement in the Frequency Domain

  15. Properties of the DFT • Translation • Distributivity and scaling • Rotation • Periodicity and conjugate symmetry • Separability • Simplicity of computing inverse

  16. Chapter 4 Image Enhancement in the Frequency Domain

  17. Chapter 4 Image Enhancement in the Frequency Domain

  18. Need for Padding Without padding convolutions will not be properly implemented. f(x) has period A h(x) has period B g(x)= h(x)*f(x) has period P>=A+B-1

  19. Chapter 4 Image Enhancement in the Frequency Domain

  20. Chapter 4 Image Enhancement in the Frequency Domain

  21. Chapter 4 Image Enhancement in the Frequency Domain

  22. Chapter 4 Image Enhancement in the Frequency Domain

  23. Convolution and Correlation

  24. Chapter 4 Image Enhancement in the Frequency Domain

  25. Chapter 4 Image Enhancement in the Frequency Domain

  26. Chapter 4 Image Enhancement in the Frequency Domain

  27. Chapter 4 Image Enhancement in the Frequency Domain

  28. Chapter 4 Image Enhancement in the Frequency Domain

  29. Chapter 4 Image Enhancement in the Frequency Domain