CS 111: Digital Image Processing

Quarter: Spring 2019

Instructor: Aditi Majumder

Email: majumder @ ics.uci.edu

Lecture: Wednesdays, 7:00pm-9:50pm (ICS 174)

Office Hours: Wednesdays, 5:30pm-6:30pm (DBH 4056)

Teaching Assistant: Muhammad Twaha Ibrahim

Email: muhammti @ uci.edu

Discussion: Fridays 1:00pm-1:50pm (ICS 174)

Office Hours: Tuesdays, 2:00pm-4:00pm (DBH 4231)

Reader: Nitin Agarwal

Email: agarwal @ uci.edu

Course Description

In many business and industry application domains handling and processing of digital images is a basic and important component. This spans an extremely wide range of applications from digital content creation and management for web-based applications over medical imaging, digital photography, digital print and publishing to real-time 3D graphics in simulations and computer games. The widespread use of digital-image content makes it possible to effectively communicate visual results. This course prepares students in the fundamentals of digital image processing as used in various applications as outlined above and illustrates the various effects one can achieve with digital images and how to extract fundamental information.

Prerequisite

ICS 23/CSE23, ICS6A/Math6A and Math6C/Math3A with grades of C or better.

Outline of the Syllabus

Linear Systems and Decomposition of Signals
Convolution and Properties
Edge Detection, Crispening
Correlation and Feature Detection
Discrete Fourier Transform and its Properties, Spectral Ananlysis, Fourier Pairs
Continuous Signal Processing
Digital Filtering and Noise Cleaning
Image Sampling, Reconstruction, Resampling and Quantization
Image Enhancement and Histogram Processing
Geometric Image Operations
Morphological Image Processing
Image Segmentation
Color Models
Image Compression

Tentative Class Schedule

Link to Piazza

Books

1. Main text: Introduction to Visual Computing, Aditi Majumder, M. Gopi (Link)
2. Main reference: The Scientist and Engineer's Guide to Digital Signal Processing, Steven W. Smith (Online)
3. Digital Image Processing (2nd Edition), Rafael C. Gonzalez, Richard E. Woods;
4. Digital Image Processing: 3rd Edition, William K. Pratt

Grading Policy

Programming Assignments : 20%
Written Assignments: 20%
Midterm: 25%
Pop Quiz: 5%
Final: 30%

Weekly Reading Assignments

Lecture Slides:

Logistics (Week 1)
Fundamentals (Week 1)
Linear Systems and Convolution (Week 1)
Linear Filters (Week 2)
Fourier Transform (Week 2)
Feature Detection (Week 4)
Histogram Processing (Week 5)
Color Image Processing (Week 6 - Text 4, Chapter 10)
Geometric Transformations (Week 7 - Main Text, Chapter 6)
Image Compression (Week 8)
Morphological Operations (Week 8 - Text 3, Chapter 9.1 - 9.5)
Review and Importance (week 10)

Programming Assignments:

Programming Assignment 1 (Due: Apr 10th, 2019 @ 11:59 p.m.)
Programming Assignment 2 (Due: Apr 24th, 2019 @ 11:59 p.m.)
Programming Assignment 3 (Due: May 9th, 2019 @ 11:59 p.m.)
Programming Assignment 4 (Due: May 15th, 2019 @ 11:59 p.m.)
Programming Assignment 5 (Due: June 1st, 2019 @ 11:59 p.m.)

Written Assignments:

Written Assignment 1 and its solution (Due: May 2nd, 2019 @ 12:00 p.m.)

Written Assignment 2 and its solution (Due: May 22nd, 2019 @ 11:59 p.m.)

Written Assignment 3 and its solution (Due: June 5th, 2019 @ 11:59 p.m.)

Pop Quiz:

Quiz 1 (Week 2)
Quiz 2 (Week 3)
Quiz 3 (Week 4)
Quiz 4 (Week 5)
Quiz 5 (Week 7)
Quiz 6 (Week 8)