1. - Final project of digital signal processing
Image Restoration
- Final project of digital signal processing
Team 27
R 王釧茹
R 彭禹安

2. Goal Improve an image in some predefined sense
Attempt to reconstruct or recover an image that has been degraded by using priori knowledge of the degradation function

3. Model + g(x,y) Degradation function H f(x,y) Restoration filter(s)
f – estimate(x,y)
Noise
η(x,y)
DEGRADATION
RESTORATION

4. Degradation function
Noise model – Gaussian Model

5. Inverse Filtering
Image Degradation
Image Degradation with noise

6. Wiener Filtering

7. Geometric Mean Filter

8. Project Implementation in Matlab Collaborate with an other group
Define Blur & Noise Function
Filter
Inverse Filter
Wiener Filter
Geometric Mean Filter
Compare the results of filters
Collaborate with an other group
Constrained Least Squares Filtering

9. Reference
Andrews, H. C., and Hunt, B. R. [1977]. Digital Image Restoration, Prentice Hall, Englewood Cliffs, N. J.
E.Cliffs, Digital Image Restoration, Prentice Hall, N. J.
Wiener, N. Extrapolation, Interpolation, and Smoothing of Stationary Time Series, the MIT Press, Cambridge, Mass. [1942].
R. Woods, R. Gonzalez, Digital Image Processing (2nd Edition)

10. Thank You