Image Processing (Dept Elec-II) (2170712)   Old Code : 170703

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
1. Knowledge of Fourier transform
2. Probability theory
3. 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
1. MATLAB with image processing toolbox.
2. Scilab (SIP)