SE366: Digital Image Processing
(3-1-0-0-4)
Introduction, Two-dimensional Systems and Mathematical Preliminaries, Image Perception, Image Sampling and Quantization, Image Transforms, Image Representation by Stochastic Models, Image Enhancement, Image Filtering and Restoration, Image Analysis and Computer Vision, Image Reconstruction from Projections, Image Compression.
- Recommended Text Book:
- Fundamentals of Digital Image Processing by Anil K. Jain, Prentice-Hall of India, New Delhi.
- Pre-requisites:
- Programming in C++
- The course will have laboratory sessions.
- Proposed by:
- Dr. R.K.S. Rathore (Mathematics)