Digital Image Processing (IT-703 (D)) - Official Syllabus

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Unit 1

The origins of Digital Image Processing, Examples of Fields that Use Digital Image Processing, Fundamentals Steps in Image Processing, Elements of Digital Image Processing Systems
Image Sampling and Quantization
Some basic relationships like Neighbours, Connectivity, Distance Measures between pixels, Linear and Non Linear Operations

Unit 2

Some basic Gray Level Transformations
Histogram Processing
Enhancement Using Arithmetic and Logic operations
Basics of Spatial Filters, Smoothening and Sharpening Spatial Filters, Combining Spatial Enhancement Methods

Unit 3

Introduction to Fourier Transform and the frequency Domain, Smoothing and Sharpening Frequency Domain Filters, Homomorphic Filtering
A model of The Image Degradation / Restoration Process, Noise Models, Restoration in the presence of Noise Only Spatial Filtering
Periodic Noise Reduction by Frequency Domain Filtering, Linear Position-Invariant Degradations, Estimation of Degradation Function
Inverse filtering, Wiener filtering, Constrained Least Square Filtering, Geometric Mean Filter, Geometric Transformations

Unit 4

Coding, Interpixel and Psychovisual Redundancy, Image Compression models, Elements of Information Theory
Error free comparison, Lossy compression, Image compression standards
Image Segmentation Detection of Discontinuities, Edge linking and boundary detection, Threshold, Region Oriented Segmentation, Motion based segmentation

Unit 5

Representation, Boundary Descriptors, Regional Descriptors, Use of Principal Components for Description
Introduction to Morphology, Some basic Morphological Algorithms
Object Recognition Patterns and Pattern Classes, Decision-Theoretic Methods, Structural Methods

Reference Books

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