Course: IT 472 - Digital Image Processing

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Weekly outline

- IT - 472: Digital Image Processing
  
  Course Instructor : Aditya Tatu
  TA : Pratik Shah
  
  Schedule:
  Lectures: Monday 09:30 - 10:30, Wednesday, Thursday: 08:30 - 09:30, CEP-205
  Lab: Wednesday : 14:00 - 16:00 - Lab 005 (Ground Floor)
- Lab Handouts Folder
- Self study Folder
- Work Folder
- Misc Folder
3 January - 9 January
- Lecture 1: Course Outline
- Lecture 1 File
- Lecture 2: Two-dimensional sampling, quantization, 2D-DFT
- Lecture 2 File
- Lecture 3: Neighborhoods and Connectedness in Digital images
- Lecture 3 File
10 January - 16 January
- Lecture 4: Image zooming/shrinking, Grey-level transformations
- Lecture 4 File
- Lecture 5: Contrast Stretching & Histogram Equalization
- Lecture 5 File
- Lecture 6: Histogram Specification & Enhancement using local statistics
- Lecture 6 File
- Read the instructions carefully before submitting assignment. It is a one time process. Do not send your assignments through e-mail, we will not consider them as submission. Don't wait for the last moment to upload your assignment. Look at the time and the date stamp for assignment.
- Lab 1 File
- Submit Assignment 1 Assignment (2.2)
17 January - 23 January
- Lecture 7: Introduction to spatial domain filtering
- Lecture 7 File
- Lecture 8: Cancelled
- Lecture 9: Order-statistics filtering and Image sharpening
- Lecture 9 File
- Lab 2 File
- Submit Assignment 2 Assignment (2.2)
24 January - 30 January
- Lecture 10: Image sharpening and Gradient operators
- Lecture 10 File
- Self Study 1 File
- Submit Self Study Assignment 1 Assignment (2.2)
31 January - 6 February
- Lecture 11 & 12: Vector space formulation of Image Processing:
  Reference: Vector Space Fomulation of Two-Dimensional Signal Processing Operations, William Pratt, Computer Graphics and Image Processing, 1975, 1-24.
- Lecture 11 & 12 File
- Lecture 13: Frequency domain enhancement - 1
- Lecture 13 File
- Lecture 14: Frequency domain enhancement - 2
- Lecture 14 File
- Lab 3 File
- Submit Assignment 3 Assignment (2.2)
7 February - 13 February
- First In-sem question paper
- First In-sem File
- Lecture 15: Frequency domain enhancement: Homomorphic filtering
- Lecture 15 File
- Lab 4 File
- Submit Assignment 4 Assignment (2.2)
14 February - 20 February
- Lecture 16: Image Segmentation 1
- Image segmentation 1 File
21 February - 27 February
- Lecture 17: Edge detection
- Lecture 17 File
- Lecture 18: Edge detection - 2
- Lecture 18 File
- Lecture 19: Edge detection - 3
- Lecture 19 File
28 February - 6 March
- Lecture 20: Image compression - 1
- Lecture 20 File
- Lecture 21: Image compression - 2
- Lecture 21 File
- Lecture 22: Image restoration - 1
- Lecture 22 File
7 March - 13 March
- Lecture 23: Image restoration - 2
- Lecture 23 File
- Survey paper in Image Restoration:
  Digital Image Restoration - Mark R. Banham and Aggelos K. Katsaggelos, IEEE Signal Processing Magazine, March 1997
- Digital Image Restoration File
- Lab 5 : Quiz handout File
- Submit : Lab 5 Quiz Assignment (2.2)
- Tutorial Canny Edge Detection Algorithm URL
- Canny 1986 URL
- Test image File
- Expected out put File
14 March - 20 March
- EXAM WEEK
21 March - 27 March
- Semester Break
- Tutorial Hough Transform URL
- Hough Transform Wiki URL
- Submit : Self Study Assignment 2 here! Assignment (2.2)
28 March - 3 April
4 April - 10 April
- Lab 7 Blur estimation and removal File
- Submit Assignment 7 here Assignment (2.2)
11 April - 17 April
18 April - 24 April
- LAB EXAM WEEK
- Lab Exam Problem Sheet File
- Lab Exam Folder

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