Introduction to the basic theory and techniques of image processing. Topics include image perception, acquisition, display, enhancement, restoration, compression, transformation, tomography, medical imaging, video coding and content analysis. Applications to HDTV, machine vision, medical imaging, etc.
Sample reading list:
Gonzalez & Woods, Digital Image Processing
Typical weekly assignments: laboratory, homework. 5-30 pages of reading per week.
Mid Term Exam - 25%
Other Exam - 25%
Term Paper(s) - 25%
Problem set(s) - 25%
Not Open to Freshmen.
Prerequisites and Restrictions:
ELE 301 or equivalent.
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