Introduction to Image Processing

Spring Semester, 2010
Course Description
Digital image processing is the use of computer algorithms to perform image processing on digital images. This course is an introductory course to the fundamentals of digital image processing. It emphasizes general principles of image processing, rather than specific applications. We expect to cover topics such as image acquistion and display, properties of the human visual system, color representations, sampling and quantization, point operations, linear image filtering and correlation, transforms and subband decompositions, and nonlinear filtering, contrast and color enhancement, and image restoration, image matching, and simple feature extraction and recognition tasks.

Location/Time
Rm2443, E3-1 CS Building, 13:00~14:15pm on Tuesday and Thursday

Lecturer
Dr. Yu-Wing Tai (web)
Email: yuwing@cs.kaist.ac.kr / yuwing@gmail.com
Office hours:  please arrange appointment via email.

Assessment:
40% assignments, 40% final exam, 20% quiz, no mid-term exam.

Text:
Digital Image Processing, 2nd Edition (DIP/2e), by Gonzalez and Woods
The textbook is not necessary, various lecture notes will be made available.

Prerequisites:
N/A

Schedule and Notes

Lecture

Date

Description

Assignments

Materials

Week 1

 2, 4 Feb

Course overview and Image formation

  

PDF, PDF

Week 2

 9, 11 Feb

Colors

   PDF

Week 3

 16, 18 Feb

Image Enhancement and Point Processing

 A1 is out PDF

Week 4

 23, 25 Feb Spatial Filters   PDF

Week 5

 2, 4 Mar Feature Detection A1 Due/A2 is out PDF

Week 6

 9, 11 Mar

Morphological Image Operations

   PDF

Week 7

 16, 18 Mar

Frequency domain Processing

 A2 is Due PDF

Week 8

 23,25 Mar

Mid-term exam period

    

Week 9

 30 Mar, 1 Apr

Noises and Image restoration

 A3 is out PDF

Week 10

 6, 8 Apr Image Transformation PDF

Week 11

 13, 15 Apr Multi-resolution processing   PDF

Week 12

 20, 22 Apr Image Matching   PDF

Week 13

 27, 29 Apr Image Segmentation PDF

Week 14

 4, 6 May Image Compressions   PDF

Week 15

 11, 13 May Reviews and Introduction to Computational Photography   PDF