F E E D B A C K

CSE340 CSE540 ECE 350 - Digital Image Processing

IIIT-Delhi

Monsoon 2019

4 credits

Instructor

A V Subramanyam

Teaching Assistants


Info - Digital Image Processing, IIIT-Delhi

Overview

Course includes fundamental theories and algorithms of digital image acquisition, color representation, sampling and quantization, frequency transform via DFT, enhancement, filtering, restoration, reconstruction, analysis, feature extraction, segmentation, morphological transform, and compression. Practical applications such as JPEG compression will be covered.

Description

Learning outcomes - 

-Students will be able to demonstrate an understanding of fundamental spatial domain image processing
-Students will be able to analyze image transforms 
-Students will be able to apply image processing techniques in spatial and Fourier domain. 
-Students will be able to analyze spatial and frequency domain properties for compression
-Student will be able to examine edge feature representation and segmentation

Evaluation

Assignments: 10%
Quiz: 30%
Mid-Sem: 20%
End-Sem: 25%
Project: 15%

Pre-requisites

Linear Algebra
Probability theory
Preferable, Signals and Systems (or equivalent course)

Office Hours

Mon: 3-3:30PM
Tues: 3-3:30 PM

TA Astha Verma

Tuesday - 12-12:30 
Thursday - 12:12:30
Lab A-415

TA Harsh Jain
Day: Tuesday and Friday
Time: 4.00 - 4.30 PM
Location: A519, M.Tech Lab, 5th Floor

TA Abhishek Gupta
Mtech lab 6th floor 614.
Tuesday 4-4:30 pm
Wednesday 4-4:30pm

TA Yatin Sharma
Tuesday - 12:30 - 1:00 - Venue: lab B614 NAB
Wednesday - 12:00 - 12:30 - Venue: Brew Bakes

TA Sakshi Makkar
Wednesday- 10:30-11
Friday- 12-12:30
Venue- Library Ground Floor

TA Abhilasha Srivastava
Tuesday: 12-12:30 PM
Venue: M.Tech lab B-614, NAB

Wednesday: 12-12:30 PM
Venue: Brew Bakes Area

TA Aditya Singh
Monday, Thursday: 10:30 - 11:00
Venue: Brew Bakes

TA Akshita Gupta
Tuesday and Thursday from 4:00 to 4:30 pm at A-611, 6th Floor, R&D Block.



Textbooks

Gonzalez and Woods, Digital Image Processing, 3rd edition, Prentice Hall, 2008

Reference:
Anil K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989