EC1034 Digital Image Processing Syllabus

EC 1034 DIGITAL IMAGE PROCESSING 3 0 0 100

1. DIGITAL IMAGE FUNDAMENTALS 10
Image acquisition – Storage – Digital image representation, quantization and sampling, Imaging geometry, discrete image transforms – Properties and applications.

2. ENHANCEMENT AND RESTORATION 12
Image enhancement techniques – Spatial domain methods histogram modification techniques, spatial filtering, enhancement in the frequency domain, image restoration – Degradation model – Inverse filter – Wiener filter constraint Least squares restoration, restoration in
spatial domain.

3. SEGMENTATION & REPRESENTATION 8
Edge linking, boundary detection, threshold, region oriented, segmentation, representation schemes

4. RECOGNITION & INTERPRETATION 6
Decision theoretic methods, structural methods, interpretation – Knowledge based systems, logical systems, expert systems.

5. IMAGE COMPRESSION 9
Image compression models, elements of information theory, transform coding – Video coding, coding standards.

L=45 Total=45

TEXT BOOKS
1. R.C. Gonzalez, & R.E. Woods, ‘Digital Image Processing’, Addison Wesley, 1998.
2. A.K. Jain, ‘Fundamentals of Digital Image Processing’, Pearson Education, 1989 / PHI.

REFERENCE BOOKS
1. A. Rosenfield & A.C. Kak, ‘Digital Picture Processing’, II edition, Academic Press New York 1982.
2. W.K. Pratt, ‘Digital Image Processing’, II Edition, John Wiley 1991.
3. K.R. Rao, J.J.Hwang, ‘Techniques and Standards for Image Video and Audio Coding’,
Prentice Hall, N.J. 1996.
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