Fundamentals of Image Processing (Dept Elec - III) (2181102)   Old Code : 181102

6
Credit
4 + 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 and Digital Signal Processing
Rationale
This is fundamental course of computer vision. This course will strengthen fundamental knowledge about digital image processing techniques. Digital image processing is used in almost all engineering fields and wide range of applications in industrial automation, medical, agriculture, security, entertainment, education and many more.
Course Outcome
After learning the course the students should be able to..
[1] Understand image representation
[2] Enhance image quality using image enhancement techniques
[3] Filter given image using frequency domain filtering technique
[4] Select the right image restoration technique to remove degradation from given image
[5] Represent image using minimum number of bits using image compression
[6] Understand image segmentation technique
[7] Do morphological operations on given image

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.