ECE 457/ ECE 557 Digital Image Procesing
Fall 2009

Instructor:: Dr. Elisa H. Barney Smith; Office: MEC 202C; Phone: 426-2214; E-mail: EBarneySmith@boisestate.edu

Class Meeting Times:: MW 10:40-11:55am; ET 314; http://coen.boisestate.edu/EBarneySmith/Image_proc

Office Hours:: Monday & Wednesday 1:40-2:30; I will also be available in my office at many other times. Stop by if you have questions.

Text:: "Digital Image Processing," Rafael C. Gonzalez and Richard E. Woods, Prentice Hall, second edition, 2002, ISBN 0-201-18075-8.; - or -; "Digital Image Processing," Rafael C. Gonzalez and Richard E. Woods, Prentice Hall, third edition, 2008, ISBN 0-13-168728-8.; (but not first edition)

References:: "Digital Image Processing," Rafael C. Gonzalez and Richard E. Woods, Prentice Hall, First edition, 1992.; "Fundamentals of Digital Image Processing," Anil K. Jain, Prentice Hall, 1989.; MATLAB software package will be used in some homeworks. It is installed on the computers in ET239, MEC117, MEC103, and MEC 408. Student versions of Matlab are available from Mathworks (www.mathworks.com) if you would like to use a home PC instead, but some of the functionality of the Image Processing Toolbox will be needed.

Grading:

Undergraduates:

Homeworks	55%
Projects	45%

Graduate Students:

* The homeworks and projects will be greater in number and larger in scope for graduate students than for undergraduate students.

Projects will require writing multiple pages of code to implement an algorithm.

Homeworks will focus on using existing Matlab functions to see the effect of an algorithm.

Course description:

The course will cover many of the following topics:

Pictures and their computer representation.
Image digitization, transformation, and prediction methods.
Image coding and image data compression.
Digital enhancement techniques, histogram equalization, differencing, smoothing and geometric corrections.
Restoration and filtering.
Edge detection and picture segmentation
Color models and transformations
Use of wavelets in image processing
Morphological Algorithms

Academic Honesty:: Please read the university policy on academic honesty in the undergraduate catalog (p17: 2009-2010). I strongly encourage students to work together and to discuss homeworks, BUT copying solutions is NOT permitted and can result in a grade of 0 for that assignment. In the written reports, all material included is expected to be your own creation. Material from the web or books or colleagues should be sparse and referenced with the appropriate citation.

Homeworks:: Homework #1 - isopreference curves, due Wednesday 9 September 2009

Projects:

Project #1 - connected components, due Friday 18 September 2009

Project #2 - Point Operations, due Wednesday 30 September 2009

Project #3 - filtering, due Wednesday 19 October 2009

Useful Resources

If you come across anything interesting, let me know.

Image processing in recent literature:: Seeing is not believing, Doctoring digital photos is easy. Detecting it can be hard., IEEE Spectrum, August 2009.

CVonline - a free computer vision "encyclopedia"

Image Acquisition: How stuff works Article on "What is the difference between CCD and CMOS image sensors in a digital camera?"; Understanding image sharpness and MTF , Color management (Lots of useful technical info for camera buffs by Norman Koren); Resolution demystified: Understanding Digital Camera Resolution