Fall 2009
ECE 178: Introduction to Digital Image Processing

Instructor:  B. S. Manjunath,(manj at ece.ucsb.edu) Rm 3157, Engineering I. Tel: 805.893.7112. Lectures: Tuesday, Thursday, 12:30 - 1:45 PM. PSYCH 1902 Office Hours Thursday 10AM-12noon or by appointment (please email)	Teaching Assistant:  Jim Kleban, (jim_kleban at umail.ucsb.edu) TA Office Hours: M 9:00 – 10:00 AM (TA, Phelps 1435) W 11AM - 12 noon (TA, Phelps 1435) R 4:30 – 5:30 PM (TA, ECI LAB) Discussion Sessions: Friday (12 - 1250PM),  GIRV 2127

 

Required Book: Digital Image Processing Third edition (http://www.imageprocessingplace.com) by Gonzalez and Woods. The book's web site contains pointers to additional resources and you are encouraged to take a look. There is a companion book, Digital Image Processing using Matlab, that emphasizes more of the MATLAB usage than the theory part.

About the course: ECE 178 is an introductory course in image processing. In this course, you will learn about digital images and how you can manipulate them.  Open to students in Engineering. You should have good background in basic calculus. You are expected to learn and use MATLAB and the Image Processing Toolbox for your programming assignments. No prior knowledge of MATLAB is required. 

Grading Policy: 20% HWs (includes class participation), 20% Mid-term examinations, 10% project on image forensics and 50% for the final examination. The home works are due by 5 PM on the day they are due.

Resources on the web

Check out the book web site, http://www.imageprocessingplace.com. The companion book's (DIP using MATLAB) web site also lists links to useful MATLAB tutorials. See http://www.imageprocessingplace.com/DIPUM/dipum_students/students.htm. In particular, work out the "projects" listed on the web site, they are helpful in getting you started on MATALB.

The following material supplement class lectures and are not substitutes for attending the lectures and discussion sessions. You are responsible for attending the lectures regularly and taking good notes. Note that "black board" notes/discussions are not necessarily included in the power point slides.

HW Solutions:

HW#1, HW#2, HW#3, HW#4, HW#5

Midterms

M1_W2008 (solution), M1_F2008 (solution), M1 (F2009 solution).

M2_W2008 (solution), M2_F2008 (solution), M2 (F2009 solution). Notes: a) W2008 has questions on histogram equalization also. The topic coverage for this quarter is closer to F2008. (b) the midterm is comprehensive in its coverage, and will include all topics covered till the Chapter 4, though the primary emphasis will be on materials covered since the last midterm.

Sample Final Exam (solution)