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091031 091031 VIDEO SIGNALS VIDEO SIGNALS Lecturer: Marco Marcon - PowerPoint PPT Presentation

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091031 091031 VIDEO SIGNALS VIDEO SIGNALS Lecturer: Marco Marcon 091032 - AUDIO AND VIDEO SIGNALS 091031 - Video signals Fall 2012-2013 INSTRUCTOR DETAILS INSTRUCTOR DETAILS e-mail: marcon@elet.polimi.it e mail:

  1. 091031 091031 – VIDEO SIGNALS VIDEO SIGNALS Lecturer: Marco Marcon 091032 - AUDIO AND VIDEO SIGNALS 091031 - Video signals Fall 2012-2013

  2. INSTRUCTOR DETAILS INSTRUCTOR DETAILS  e-mail: marcon@elet.polimi.it  e mail: marcon@elet.polimi.it  Web: http://www-dsp.elet.polimi.it  Skype: marco.marcon  Office: Dipartimento di Elettronica e Informazione 3 rd floor room 333 Informazione 3 floor, room 333  Laboratories: viale Rimembranze di Lambrate, 14 3 rd floor(ISPG)  Tel: 02-2399-3582/9639  Conferencing with the course instructor or with the teaching assistant can be requested via phone or teaching assistant can be requested via phone or email.

  3. WHY DO WE PROCESS IMAGES? WHY DO WE PROCESS IMAGES?  Acquire an image  Correct aperture and color balance  Reconstruct image from projections  Prepare for display or printing  Adjust image size  Halftoning  Facilitate picture storage and transmission  Efficiently store an image in a digital camera  Send an image from Mars to Earth  Enhance and restore images  Remove scratches from an old movie R t h f ld i  Improve visibility of tumor in a radiograph  Extract information from images  Read the ZIP code on a letter  Read the ZIP code on a letter  Measure water pollution from aerial images

  4. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Restoration of image from Hubble Space Telescope

  5. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Color photo enhancement Color photo enhancement Original Automatic Enhancement

  6. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Noise reduction  Noise reduction Degraded image Noise-reduced image

  7. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Special Effects p Photo Simulated Simulated color pencils oil painting

  8. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Halftoning  Halftoning

  9. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Pseudocolor enhancement for security screening

  10. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Extraction of settlement area from an aerial image

  11. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Earthquake Analysis from Space  Earthquake Analysis from Space Image shows the ground displacement due to Landers earthquake in California, 1992

  12. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES

  13. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Image Segmentation  Image Segmentation

  14. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES

  15. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Face morphing  Face morphing

  16. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Handwriting recognition  Handwriting recognition

  17. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Biometrics: Fingerprint recognition  Biometrics: Fingerprint recognition

  18. IMAGE PROCESSING EXAMPLES IMAGE PROCESSING EXAMPLES  Biometrics: Iris recognition  Biometrics: Iris recognition

  19. AUTOMOTIVE ASSISTANT AUTOMOTIVE ASSISTANT

  20. SUGGESTED TEXTBOOKS SUGGESTED TEXTBOOKS  Digital Image Processing / R.C. Gonzales, R. E. Woods. g g g / ,  Digital Image Processing / Kenneth R. Castleman. Prentice Hall,  Feature Extraction and Image Processing / Nixon Mark  Feature Extraction and Image Processing / Nixon, Mark Aquado, Alberto S Book.  Handbook of Image and Video Processing / Bovik, Al.  Handbook of Medical Imaging / Bankman Isaac  Handbook of Medical Imaging / Bankman, Isaac.  Introduction to Statistical Pattern Recognition / Fukunaga, Keinosuke. - 2nd.  Pattern Recognition / Theodoridis, Sergios Koutroumbas, Konstantinos.  Statistics and Probability for Engineering Applications / DeCoursey, William.  Wavelet Tour of Signal Processing / Mallat.

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