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# Image Processing

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### Image Processing

1. 1. HOMOMORPHIC FILTERING IN IMAGE PROCESSING AND ITSAPPLICATIONS<br />
2. 2. Image processing in humans<br />
3. 3.
4. 4. Image processing in computer<br />
5. 5.
6. 6.
7. 7. WHAT IS IMAGE PROCESSING?<br />Image processing is a form of signal processing for which the input is an image, such as photographs or frames of videos and the output can either be an image or a set of characteristics or parameters related to the image.<br />
8. 8. Principle:<br /><ul><li>HomomorphicFiltering:</li></ul>Homomorphic filtering is a generalized technique for image enhancement and/or correction.<br />It simultaneously normalizes the brightness across an image and increases contrast<br />
9. 9. An image can be expressed as the product of illumination and reflectance: <br /> f(x,y,z)=i(x,y,z).r(x,y,z)<br /> => g(x,y,z)=ln(f(x,y,z))<br /> => g(x,y,z)=ln(i(x,y,z))+ln(r(x,y,z))<br />
10. 10. Then taking DFT:<br /> F(g(x,y,z))=F(ln(i(x,y,z)))+F(ln(r(x,y,z)))<br />Then we will apply it to a filter. <br /> we will get F(s(x,y,z)) as o/p <br />Then inverse DFT(IDFT) of filter output is taken.<br /> we will get,<br /> s(x,y,z)=I'(x,y,z)+r’(x,y,z)<br />Then we will take exponential to get enhanched image<br /> s’(x,y,z)=I‘’(x,y,z).r’’(x,y,z) <br />
11. 11. I‘’(x,y,z), r’’(x,y,z) are the illumination and reflectance of the ‘’enhanced'' image.<br /> The illumination component tends to vary slowly across the image. The reflectance tends to vary rapidly. Therefore, by applying a frequency domain filter we can reduce intensity variation across the image while highlighting detail.<br />
12. 12. Homomorphic filtering<br />
13. 13. Filtering in the Frequency Domain :<br />Lowpass Filter<br />Highpass Filter<br />
14. 14. Typical operations:<br /><ul><li>Image masking
15. 15. Image re-touching, Cleaning & Cloning
16. 16. Colorization
17. 17. Specialized Services
18. 18. Photo Restoration
19. 19. Removing objects, backgrounds, persons etc.
20. 20. Portraitize, Glamorize, Adding Motion Effects. </li></li></ul><li>
21. 21.
22. 22.
23. 23. Applications:<br /><ul><li>Astronomical application
24. 24. Medical applications</li></ul>MRI, CT, Microscopy<br />Ultrasound imaging<br /><ul><li>3D image processing
25. 25. Defence
26. 26. Security
27. 27. Passwords</li></li></ul><li>THANK YOU!!!<br />