Digital Image Processing


Class Information

Class Schedule


Projects Spr 2013/14

Projects Win 2013/14

Projects Aut 2013/14

Projects Spr 2012/13

Projects Spr 2011/12

Projects Spr 2010/11

Projects Spr 2009/10

Projects Spr 2007/08

Projects Spr 2006/07

Projects Spr 2005/06

Projects Spr 2003/04

Projects Spr 2002/03

Test Images

MATLAB Tutorials

Android Tutorials



EE368/CS232: Digital Image Processing

Spring 2013-2014
Prof. Bernd Girod

Course Description

Image sampling and quantization, color, point operations, segmentation, morphological image processing, linear image filtering and correlation, image transforms, eigenimages, multiresolution image processing, noise reduction and restoration, feature extraction and recognition tasks, image registration. Emphasis is on the general principles of image processing. Students learn to apply material by implementing and investigating image processing algorithms in Matlab and optionally on Android mobile devices. Term project. In the fall and spring quarter, a sequence of interactive web/video modules substitutes the classroom lectures. In the winter quarter, the course is taught conventionally; both versions of the course are equivalent. Recommended: EE261, EE278B.

Announcements will be posted as the course progresses.

Please contact us if you have any questions about this page.
Last modified: 06/07/2014