ELEC 539 - Digital Image Processing - Syllabus

Instructor

Prof. Richard G. Baraniuk
DH 2023, 285-5132, richb@rice.edu

Time and Place

Tuesday and Thursday from 1:00-2:20pm in Duncan Hall 1042

Office Hours

After class or by appointment

Assistants

Justin Romberg, DH 2119, x2285, jrom@rice.edu
Rahul Jain, DH 2123, x2827, rjain@rice.edu

Textbooks (both optional)

K. R. Castleman, Digital Image Processing, Prentice-Hall, 1996

A. K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall, 1989

Recommended Further Reading

J. S. Lim, Two-Dimensional Signal and Image Processing, Prentice-Hall, 1990

R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison-Wesley 1993

D. E. Dudgeon and R. M. Mersereau, Multidimensional Digital Signal Processing, Prentice-Hall, 1984

Many supplemental sources on reserve in the library

Prerequisites

ELEC 431 or ELEC 531 Digital Signal Processing

Experience with Matlab

Grading

20% - Test

20% - Gang Project 1

35% - Gang Project 2

15% - Homework and Computer Exercises

10% - Notebook and classroom participation

Study Groups
To encourage group learning, students are expected to form study groups. Homeworks may be completed in groups. On a weekly basis, each group must turn in (with homework solutions) a report on their activities and a summary of the material covered in the previous week of class. Group work should not substitute for study on your own. At test time, only a pencil will accompany you.

Late Homework Policy
Homework is due before midnight on the due date. Please slip your homeworks under the DH 2119 door. After the due date, but before solutions are handed out, homework can be turned in for 50% credit. After solutions are handed out, 0% credit will be issued. However, all assignments must be turned in, or an incomplete grade will be assigned. You are encouraged to work in groups on homework problems, as long as you ultimately formulate your own solution. You are expected to understand any solution you turn in.
Homework, tests, and solutions from previous offerings of this course are off limits, under the honor code.

Handouts Policy
Course notes and assignment solutions will be handed out in class. Additional handouts will not be provided. Each student is responsible for obtaining notes for classes not attended.

Suggestions

Remember the big picture

Read the book and supplementary sources

Prepare your own summaries from texts and notes

Work in groups for homeworks and study (explain main concepts to each other)

Students with disabilities

COURSE OUTLINE

I. Introduction

Motivation: Why Image Processing?

II. Two-Dimensional System Theory

All that is the same (generalizations from 1-d to 2-d)

All that is the different

Quantization

Filter design

Optical image processing

III. Image Compression

Pixel and predictive coding

Transform coding

Image transforms (KLT, DCT, wavelets)

IV. Image Enhancement and Restoration

Point processing, histogram equalization

Spatial processing, linear and nonlinear

Inverse and Wiener filters

V. Image Analysis

Edge detection

Multiscale edge detection

Morphology

VI. Imaging Systems (as time permits)

Tomography

Synthetic aperture radar

Magnetic resonance

Tue Jan 19 1999. Richard G. Baraniuk.