All Courses
EE610 Postgraduate

Image Processing

Credits
6
Type
Theory
Half sem
No

Course Content

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.

Text / References

  1. 1 W.K. Pratt: `Digital image processing", Prentice Hall, 1978.
  2. 2 A. Rosenfold and A.C. Kak: `Digital image processing", Academic Press, 1976.
  3. 3 A. Rosenfold and A.C. Kak: `Digital image processing", Vols 1 and 2, Prentice Hall, 1986.
  4. 4 H.C. Andrew and B.R. Hunt, Digital image restoration, Prentice Hall, 1977.
  5. 5 K.R. Castleman: `Digital image processing", Prentice Hall, 1979.
  6. 6 A.K. Jain: `Fundamentals of digital image processing", Prentice Hall, 1989.
Back to Course List