Course Contents

• Introduction
  • Overview and State-of-the-art, Fundamentals of Image Formation, Transformation: Orthogonal, Euclidean, Affine, Projective, etc; Fourier Transform, Convolution and Filtering, Image Enhancement, Restoration, Histogram Processing.

References

Textbooks

The Essential Guide to Video Processing Al Bovik (Alan C Bovik), Academic Press, Second Edition, 2009

Handbook of Image and Video processing - Al Bovik (Alan C Bovik), Academic Press, Second Edition, 2005.

Digital Video Processing - A. Murat Tekalp, Prentice Hall, 1995

References

Richard Szeliski, Computer Vision: Algorithms and Applications, Springer-Verlag London Limited 2011.

Journals

IEEE-T-CSVTI (IEEE Transactions on Circuit Systems and VIdeo Technology).

Lecture Slides

1	Introduction
2	Neighborhood and Connectivity of pixels
3	3D transformations and projection
4	Fourier Theory and Filtering in spatial and spectral domains
5	Enhancement
6	Histogram based image processing
7	Concepts in Edge Detection
8	Hough Transform
9	Feature extraction and Image matching	*
10	Image segmentation
11	Texture analysis using Gabor filters
12	SCALE-SPACE - Theory and Applications
13	Local Feature Detectors and Descriptors
14	Motion
15	Motion Detection and Tracking
16	Shape from Shading
17	Pattern Recognition
18	Object Recognition	To be updated
19	Wavelet transform
20	Morphology
21	Solid Modeling
22	2D Translation
23	3D Graphics and Transformations
24	Color
25	Hardware	*

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Tracking Videos

Announcement

Marks Distribution

• End Sem : 40
• Tutorial : 10
• TPA : 50

Logistic Details

• TA: Chiranjoy Chattopadhyay (chiranjoy[at]gmail[dot]com)
  
• TA: Tirumarai Selvan(tirumarai[dot]selvan[at]gmail[dot]com)