EE 610 - Image Processing
Image representation, basics of colorimetry, KL transforms, two dimensional transforms, image enhancement, edge detection, histograms.
Image restoration : sources and models of image degradation, point spread functions (psf), stochastic psf, noise in images.
Formulation of image restoration problem least square, minimum mean square error (MMSE) and homomorphic filter restoration, linear and non-linear restoration techniques.
Mathematical morphology, computer tomography.
W.K. Pratt: `Digital image processing", Prentice Hall, 1978.
A. Rosenfold and A.C. Kak: `Digital image processing", Academic Press, 1976.
A. Rosenfold and A.C. Kak: `Digital image processing", Vols 1 and 2, Prentice Hall, 1986.
H.C. Andrew and B.R. Hunt, Digital image restoration, Prentice Hall, 1977.
K.R. Castleman: `Digital image processing", Prentice Hall, 1979.
A.K. Jain: `Fundamentals of digital image processing", Prentice Hall, 1989
6 credits - Lecture
Name(s) of other Academic units to whom the course may be relevant