2K6 CS 805(B) IMAGE PROCESSING

Module I (13 hours)
Introduction – digital image representation – fundamental steps in image processing – elements of digital image processing systems – digital image fundamentals – elements of visual perception – a simple image model – sampling and quantization – basic relationship between pixels – image geometry – image transforms – introduction to Fourier transform – discrete Fourier transform – some properties of 2-fourier transform (DFT) – the FFT – other separable image transforms – hotelling transform
Module II (13 hours)
Image enhancement – point processing – spatial filtering – frequency domain – color image processing – image restoration – degradation model – diagonalization of circulant and block circulant matrices – inverse filtering – least mean square filter
Module III (12 hours)
Image compression – image compression models – elements of information theory – error-free compression – lossy compression – image compression standards
Module IV (12 hours)
Image reconstruction from projections – basics of projection – parallel beam and fan beam projection – method of generating projections – Fourier slice theorem – filtered back projection algorithms – testing back projection algorithms

Reference books
1. Rafael C., Gonzalez & Richard E. Woods, Digital Image Processing, Addison Wesley, New Delhi
2. Rosenfeld A. & Kak A.C., Digital Picture Processing, Academic Press
3. Jain A.K, Fundamentals of Digital Image Processing, Prentice Hall, Englewood Cliffs, N.J.
4. Schalkoff R. J., Digital Image Processing and Computer Vision, John Wiley and Sons, New York
5. Pratt W.K., Digital Image Processing, 2nd edition, John Wiley and Sons, New York