CMPE 464

Image Processing for Computer Graphics

Instructor:  Lale Akarun

Textbook: Gonzalez and Woods, Digital Image Processing, 2002 edition

Supplementary Text: Gomes and Velho, Image Processing for Computer Graphics, Springer, 1997.

Lecture Hours:  MMT 561 ETAZ04

Tentative Schedule:

1.    Introduction: Aims and techniques of image processing

2.    Human visual perception, monochrome and color image models

3.    Color quantization and halftoning

4.    Introduction to Signal Theory, Image transforms

5.    Convolution and Image filtering

6.     Sampling and reconstruction

7.    Review of basic probability, KLT, noise in images

8.    Image enhancement: histogram techniques

9.    Linear and nonlinear filters; rank order and morphological filters

10.Edge detection

11.Image compression: practical techniques, JPEG, MPEG

12.Image compositing

13.Warping and Morphing

Grading: Midterm, 30 %, Homeworks 10 %, Projects, 20 %, Final exam 40 %.

Projects: Simple computer projects will be assigned in the second half of the course. (A total of 4 projects).