1. Lecture 14
Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002.

2. Degradation Function Estimation
Observation of a subimage
Experimentation
Mathematical Modeling

3. Observation of a subimage
Choose strong signal area, assume noise is negligible, using gray level samples of object and background construct an unblurred image of same size and characteristics as blurred image.

4. Experimentation Image on an impulse…
Fourier transform of impulse is constant so
H(u,v)= G(u,v)/A
A is the constant describing the strength of the image.

5. Chapter 5
Image Restoration

6. Modeling

7. Chapter 5
Image Restoration

8. Mathematical Model from ``basic’’ principles

9. Simple Motion Model

10. Chapter 5
Image Restoration

11. Inverse Filtering

12. Chapter 5
Image Restoration

13. Minimum MSE (Wiener) Filter

14. Chapter 5
Image Restoration

15. Chapter 5
Image Restoration

16. Constrained Least Squares Filter(1)

17. Constrained Least Squares Filter(2)

18. Constrained Least Squares Filter(3)

19. Chapter 5
Image Restoration

20. Chapter 5
Image Restoration