ENEL619-12S1 (C)
Semester One 2012
Computational Image Recovery
Description
The focus of this course is computational methods for the reconstruction of images from incomplete and noisy data. Key concepts are the use of a priori information to supplement incomplete data, and the relationship between an image and its Fourier transform. Topics include image formation, Fourier optics, scalar diffraction, inverse problems, optimization methods, deconvolution, phase retrieval, and applications including medical and biological imaging.
Subject to approval of the Head of Department.
Minimum enrolments
This course will not be offered if fewer than 5 people apply to enrol.
For further information see
Electrical and Computer Engineering.
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ENEL619-12S1 (C)
Semester One 2012
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