1. Ceng466 Fundamentals of Image Processing
Manipulation of Images by Computer

2. What is Image?

3. Image: Visual Information
2-d: binary, gray level, color (pictures, photos, etc)
3-d: debth info (drawings, holograms etc.)
Multispectral: (sattellites images)
Ultrasound (medical images)
Mr (meterials, medical)
Thermal (security cameras)
IR ( defence)
X-ray (medical)

4. Image Processing Image: Visual Information
Processing: Series of actions or operations leading to a desired result
Algorithms

5. Computer imaging Image processing: Computer vision Computer graphics
output image for human consumption
Computer vision
output image for use of computer
Computer graphics
Computer generates image

6. Computer Imaging Linear Algebra Probability Algorithms
Discrete geometry
Color science
Data structure IP CV CG

7. Image Processing Steps
Pre processing:Sampling and quantization,
Enhancement
Improve and accentuate some properties according to HVS
Detect the edges, Sharpen the edges, adjust contrast, improve brightness, smooth the noise
Etc
Compression:Reduce the amount of data with max info
Restoration

8. Image Processing Steps
Feature extraction: Higher level of info
Segmentation: Partition the homogeneous regions
Pattern recognition: Classify and label the objects

9. Sampling:Digitize Image in space

10. Sampling

11. Quantization: Digitize Brihtness values

12. Enhencement: Zooming Interpolation

13. Enhancement: Smoothing

14. Enhancement: Edge Detection

15. Image Enhancement in the
Frequency Domain

16. 3. Compression:
Reducing the amount of data with maximum info

17. 3. Compression:
Reducing the amount of data with maximum info

18. Reducing the amount of data with maximum info
3. Compression:
Reducing the amount of data with maximum info

19. Compression depends on the Image content

20. Recover the original image by removing the noise
4. Restoration:
Recover the original image by removing the noise

21. 5. Image Segmentation

22. 6. Object Recognition

23. 6. Object Recognition