Digital Image Processing


Class Information

Class Schedule


Projects Spr 2014/15

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

Autumn 2015-2016
Prof. Gordon Wetzstein (previously taught by 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. Recommended: EE261, EE278B.

  • First day of class: September 21 (Monday), 1:30pm, in Gates B03.

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Last modified: 09/18/2015