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EE638 : Digital Image Processing


Link for Online Lectures: (Google Meet)
[Lecture-1]: Syllabus and Evaluation Criteria (Link) (Date: 06/01/2022)

1. Online Lectures 

  1. Lecture-2: Introduction to Image Processing (Link) (Date: 07/01/2022 )
  2. Lecture-3: Image Acquisition  (Link) (Date: 20/01/2022 ).        PPT Link (Link)
  3. Lecture-4: Image Point Processing (Link) (Date:20/01/2022 ).     PPT Link (Link)
  4. Lecture-5:  (Link(20/01/2022)
  5. Lecture-6:  (Link) (20/01/2022)
  6. Lecture-7:  (Link) (29/01/2021).     PPT on Frequency Domain Filtering (Link)
  7. Lecture-8:  (Link) (29/01/2021)
  8. Lecture-9:  (Link) (29/01/2021)
  9. Lecture-10:  (Link) (29/01/2021).  PPT on Wavelets (Link)
  10. Lecture-11:  (Link) (04/02/2022)
  11. Lecture-12:  (Link) (04/02/2022)
  12. Lecture-13:  (Link) (04/02/2022)
  13. Lecture-14:  (Link) (10/02/2022)
  14. Lecture-15:  (Link) (10/02/2022)
  15. Lecture-16:  (Link) (10/02/2022).  PPT on Morphology  (Link)
  16. Lecture-17:  (Link) (17/02/2022).
  17. Lecture-18:  (Link) (17/02/2022).
  18. Lecture-19:  (Link) (17/02/2022). PPT on Geometric Transformations (Link)
  19. Lecture-20:  (Link) (24/02/2022).
  20. Lecture-21:  (Link) (24/02/2022)
  21. Lecture-22:  (Link) (24/02/2022)
  22. Lecture-23:  (Link) (16/03/2022) PPT on Image Compression (Link)
  23. Lecture-24:  (Link) (16/03/2022) PPT on Image Segmentation (Link)
  24. PPT on Image Restoration (Link)

2. Deep Learning for Computer Vision and Image Processing.

  • Lecture-25: (Link) (Basics of NN)
  • Lecture-26: (Link) (Basics of NN)
  • Lecture-27: (Link) (Basics of CNN)
  • Lecture-28: (Link) (Basics of CNN)
  • Lecture-29: (Link)  (AutoEncoders)
  • Lecture-30: (Link)  (AutoEncoders)
  • Lecture-31: (Link) (GANs)
  • Lecture-32: (Link)  (GANs)
  • Presentation for Lectures 25-32 (Link

3. Segmentation

  • Lecture-33: (Link) (MsEDNet) (Paper-Link)
  • Lecture-34: (Link)  (MsFgNet) (Paper-Link)
  • Lecture-35: (Link) (FgGAN) (Paper-Link)
  • Presentation for Lectures 33-35 (Link

4. Image Restoration [Single Image Haze Removal]

  • Lecture-36: (Link)  (C2MSNet-SIHR)(Paper-Link)
  • Lecture-37: (Link)  (RYFNet-SIHR)(Paper-Link)
  • Lecture-38: (Link)  (RI-GAN-SIHR)(Paper-Link)
  • Presentation for Lectures 36-38 (Link)