Intro to Digital Image Processing Lectures, Spring 2015

Intro to Digital Image Processing Lectures, Spring 2015

Rich Radke via YouTube Direct link

DIP Lecture 3: Image acquisition and sensing

3 of 29

3 of 29

DIP Lecture 3: Image acquisition and sensing

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Classroom Contents

Intro to Digital Image Processing Lectures, Spring 2015

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  1. 1 DIP Lecture 1: Digital Image Modalities and Processing
  2. 2 DIP Lecture 2: The human visual system, perception, and color
  3. 3 DIP Lecture 3: Image acquisition and sensing
  4. 4 DIP Lecture 4: Histograms and point operations
  5. 5 DIP Lecture 5: Geometric operations
  6. 6 DIP Lecture 6: Spatial filters
  7. 7 DIP Lecture 7: The 2D Discrete Fourier Transform
  8. 8 DIP Lecture 8: Frequency domain filtering; sampling and aliasing
  9. 9 DIP Lecture 9: Unitary image transforms
  10. 10 DIP Lecture 10: Edge detection
  11. 11 DIP Lecture 11: Edge linking and line detection
  12. 12 DIP Lecture 12: Thresholding
  13. 13 DIP Lecture 12a: Image Segmentation
  14. 14 DIP Lecture 12b: Snakes, active contours, and level sets
  15. 15 DIP Lecture 13: Morphological image processing
  16. 16 DIP Lecture 13a: Region description and filtering
  17. 17 DIP Lecture 14: Object and feature detection
  18. 18 DIP Lecture 15: Lossless image coding
  19. 19 DIP Lecture 16: Lossy image compression
  20. 20 DIP Lecture 17: Image restoration and the Wiener filter
  21. 21 DIP Lecture 18: Reconstruction from parallel projections and the Radon transform
  22. 22 DIP Lecture 19: Fan-beam reconstruction
  23. 23 DIP Lecture 20: Dithering and halftoning
  24. 24 DIP Lecture 21: Digital watermarking
  25. 25 DIP Lecture 22: Image blending
  26. 26 DIP Lecture 23: Photomontage and inpainting
  27. 27 DIP Lecture 24: Image retargeting
  28. 28 DIP Lecture 24a: Digital Image Forensics
  29. 29 DIP Lecture 25: Active shape models

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