EECS107 - Fundamentals of Digital Image Processing



Time:Tue/Thu 3:30pm - 4:50pm
Location:
 
EH 1150 (locate this building)
 
Instructor:Prof. Joeg Meyer
Email:
 
jmeyer@uci.edu
 
Textbook:Practical Algorithms for Image Analysis with CD-ROM, 2nd Edition, by Lawrence O'Gorman, Michael Seul, Michael J. Sammon, Cambridge University Press, 2008, ISBN 0-521884112
 
Course webpage:http://imaging.eng.uci.edu/~jmeyer/COURSES/EECS107
Course syllabus:click here


Powerpoint slides:

  1. Introduction (Image Representations) ..
  2. Image Enhancement, Histogram Transformation
  3. File Formats, Noise
  4. Color Models
  5. Color Models 2


Digital Image Processing has many applications in research and development, e.g. in Satellite Imaging, Geosciences, Material Sciences, Medicine, and Biomedicine. This course covers fundamental techniques from image acquisition to image enhancement, efficient transmission, and storage. We will learn about pixel-level digital image representation and elementary operations; enhancement, filtering, and restoration; RLE compression, Fourier and other unitary transforms; and wavelet compression. We will also learn how the human visual system (eye - brain) processes and interprets image information, and how we can model some aspects of human 'vision' to improve our image processing methods.


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Last modified: Thu Oct 8 13:52:36 PDT 2009
jmeyer@uci.edu