UNIT 1:
introduction to Digital image processing system
Fundamental steps in digital image processing, Components of an image processing system
Structure of human eye, Image formation, Brightness adaptation and discrimination.
Basic concepts in sampling and Quantization, Representing digital images, Neighbors of a pixel,
Adjacency, Connectivity, Regions and Boundaries, Distance Measures, A simple image formation mode.
Image transforms - Properties of 2D DFT
Discrete Cosine Transform
UNIT 2:
Image Enhancement: Histogram Processing
Histogram equalization, Matching
Local Histogram Processing
histogram statistics for image enhancement
smoothing linear filters, sharpening spatial filters
Image Restoration: A model of image degradation/ restoration process
Noise models–Inverse filtering
Constrained least mean square filtering – Geometric transformation
UNIT 3:
Image Compression: Need for compression
Lossy compression - Transform coding
Image segmentation: Detection of isolated points, line detection
Edge models, Basic edge detection
Region based segmentation – region growing, Region splitting and merging
UNIT 4:
Basic concept, Dilation process for binary and gray image
Basic concept, Erosion process for binary and gray image
Dilation and Erosion process for binary and gray image with applications
Opening for binary and gray image
Closing for binary and gray image
Opening & Closing for binary and gray image with applications
Hit-or-Miss Transformation
Basic Morphological Algorithms
Morphological reconstruction
UNIT 5:
Introduction to computer vision- Image formation and Processing
Geometric primitives and transformations
Photometric image formation
Point Operators; Linear Filtering
