EE368/CS232
Digital Image Processing


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EE368/CS232: Digital Image Processing

Autumn 2016-2017
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. Course catalog entry



Announcements
  • First day of class: Monday, September 26, 2016, 1:30pm, in Gates B03.


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Last modified: 08/30/2016