Winter Quarter 2000

This course provides an introduction to digital image processing techniques. Topics include point processes, area processes, geometric processes, digital halftoning, and image transforms. Applications such as image enhancement, image restoration, image analysis, and color enhancement. Laboratory activities include the implementation and comparison of digital image processing techniques. (prereq: MA-262, senior standing) (2-2-3)

Objectives

On successful completion of this course, the student will:

• Be able to implement simple image processing algorithms.
• Understand digital filtering techniques.
• Be familiar with techniques for representing color.
• Be able to independently research and present a specific topic in image processing.

The above course description and goals were taken from the official course description.

General Course Policies

Please review the general course policies webpage. Note that there is an exception to the general course policies, and that is that laboratory attendance is not mandatory.

Textbook

A Simplified Approach to Image Processing, by Randy Crane, Prentice Hall, 1997.

Research Paper/Project

Each student may choose to write a research paper or implement a project.

Research Paper

Students choosing this option must write a research paper on some topic related to digital image processing. The paper should be 1200-1500 words in length and have at least three sources. At least one of the sources must be published in a scientific journal (see me if there are questions about what is an acceptable journal). In addition, each student will present their findings to the class during the week 10 of the quarter. Each student must choose a topic by lecture 1 of week 6. All reports are due by 11pm Friday of week 8. Students should select a lecture period during week 10 in which to present (first come first served).

Research Project

Students choosing this option must write a research paper on some topic related to digital image processing. The paper should be 800-1000 words in length and have a least two sources. In addition, each student must implement a software package to demonstrate the topic discussed in the paper. Each student will present their findings to the class. Each student must choose a topic by lecture 1 of week 6. All projects are due by lecture 1 of week 10. Students should select a lecture period during week 10 or during finals week in which to present (first come first served). Students who chose this option will not be required to submit the fourth lab assignment. More information on the project requirements is available.

Weblinks

Students will be required to search the web for links relevant to the lectures. Each student will be assigned two lectures for which they will be required to provide relevant weblinks. Your grade will be based on the relevance of the material to the topic (the availability of relevant material will be taken into account). A list of links (prioritized in order of relevance and quality) will be due prior to the next lecture.

My Schedule

* I would like to have lunch with you individually or as a group to get to know you better. If we eat in RWJ, housing will pick up my lunch bill. If you would prefer to eat elsewhere, we will each be responsible for our own bill. Feel free to suggest another time... perhaps breakfast, if the time above does not work for you.

Grading

Tentative Schedule