1. WELCOME TO ALL

3. DIGITAL IMAGE PROCESSING Processing of images which are Digital in nature by a Digital Computer.

4. Why do we need Image processing?  Improvement of pictorial information for Human perception.  Image processing for Autonomous Machine application.  Efficient storage and transmission.

5. HUMAN PERCEPTION Typical applications:  Noise filtering  Content enhancement o Contrast enhancement o Deblurring  Remote sensing

6. Noise filtering

7. Image Enhancement

8. Image De-blurring

9. Medical Imaging

10. Ultra sonogram

11. Remote sensing

12. Machine vision application  Industrial machine vision for product assembly and inspection.  Automated target detection and tracking.  Finger print recognition.

13. Automated Inspection

16. IC Manufacturing Inspection

17. Video sequence processing By using image sequence processing we can detect moving objects. Detection and tracking of moving objects for security surveillance purpose. (play video) To find trajectory of moving target. Monitoring the movements of organ boundaries in medical applications.

18. Image Compression An image usually contains a lot of redundancy that can be exploited to achieve compression

19. Original1:551:156 Image Compression