UNIT 1:
Digital image processing system-Fundamental steps in digital image processing
Structure of human eye, Image formation
Components of an image processing system
Brightness adaption and discrimination
Basic concepts in sampling and quantization, Representing digital images
Neighbours of a pixel, Adjacency, Connectivity, Regions and Boundaries
Distance measures, A simple image formation mode
Image transforms- Properties of 2D DFT,DCT
SVD transform , Wavelet transform
SVD transform , Wavelet transform
UNIT 2:
Image Enhancement: Histogram processing-Histogram equalization
Matching, Local histogram processing
Noise models- Inverse filtering
Image Restoration: A model of image degradation/Restoration process
Histogram statistics for image enhancement
8 Constrained least mean square filtering
Matching, Local histogram processing
Smoothing linear filters, Sharpening spatial filters
UNIT 3:
Image compression: Need for compression
Huffman Coding, Arithmetic coding
Lossy compression – Transform coding
Line detection, Edge models, Basic edge detection
Region based segmentation- region growing
Region based segmentation- region growing
Region splitting and merging
UNIT 4:
Dilation process for binary and gray image with applications
Erosion process for binary and gray image with applications
Opening for binary and gray image with applications
Closing for binary and gray image with applications
Closing for binary and gray image with applications
Basic Morphological Algorithms
Morphological reconstruction
UNIT 5:
Introduction to computer vision
mage formation and processing
Geometric primitives and transformations
Photometric image formation
The digital camera: Point Operators
Pyramids and Wavelets- Fourier Transforms
Pyramids and Wavelets- Fourier Transforms