UNIT 1:
Digital image processing system
Fundamental steps in digital image processing
Basic concepts in sampling and quantization, Representing digital images
Basic concepts in sampling and quantization, Representing digital images
Image transforms- Properties of 2D DFT, DCT
Image transforms- Properties of 2D DFT, DCT
UNIT 2:
IMAGE ENCHANCEMENT AND IMAGE RESTORATION
Smoothing linear filters, Sharpening spatial Filters
Noise models- Inverse filtering
Noise models- Inverse filtering
Constrained least mean square filtering
UNIT 3:
Huffman Coding, Arithmetic coding
Image segmentation : Detection of isolated points
Region based segmentation- region growing
Region based segmentation- region growing
Lossy compression – Transform coding
Line detection, Edge models, Basic edge detection
UNIT 4:
MORPHOLOGICAL IMAGE PROCESSING-Basic Concepts
Morphological reconstruction
Erosion process for binary and gray image with applications
UNIT 5:
Image formation and processing
Introduction to computer vision
Photometric image formation
Pyramids and Wavelets- Fourier Transforms
Photometric image formation
The digital camera: Point Operators
The digital camera: Point Operators