Digital Image Processing (Dept Elec-II) (2173210)  

5
Credit
3 + 0 + 2
Lect + Tuto + Pract
Teaching Scheme
70 + 20 + 10
ESE + PA + ALA
Theory Marks
20 + 10 + 20
ESE + OEP + PA
Practical Marks
ESE - End Semester Examination, PA - Progress Assessment, ALA - Active Learning Assignments, OEP -Open Ended Problem


Prerequisite
Knowledge of Fourier transform, Probability theory, Good programming skills
Rationale
This course will provide students with more techniques in the digital image processing for image enhancement as well as restoration of noisy images. Emphasis is given more on implementation of various algorithms so that students will able to develop their own algorithm. The techniques covered in the syllabus have wide applicability in any field which needs to handle the image data.
Course Outcome
After learning the course the students should be able to:
1. Understand the basic image enhancement techniques in spatial & frequency domains
2. Understand the various kind of noise present in the image and how to restore the noisy image.
3. Understand the basic multi-resolution techniques and segmentation methods.
4. To apply this concepts for image handling in various fields.

Active Learning
Preparation of power-point slides, which include videos, animations, pictures, graphics for better understanding theory and practical work – The faculty will allocate chapters/ parts of chapters to groups of students so that the entire syllabus to be covered. The power-point slides should be put up on the web-site of the College/ Institute, along with the names of the students of the group, the name of the faculty, Department and College on the first slide. The best three works should submit to GTU