UNIT 1:
Discrete Cosine Transform, SVD transform
Neighbors of a pixel, Adjacency, Connectivity, Regions and Boundaries
Basic concepts in sampling and Quantization, Representing digital images
Image transforms - Properties of 2D DFT
Discrete Cosine Transform, SVD transform
Introduction to Digital Image Processing system , Fundamentals in DIP
Introduction to Digital Image Processing system , Fundamentals in DIP
Components of an DIP, Structure of an Human Eye
UNIT 2:
Histogram Processing- Histogram equalization
Matching, Local Histogram Processing, histogram statistics for image enhancement
Noise models–Inverse filtering
Constrained least mean square filtering
Image Restoration: A model of image degradation/ restoration process
Noise models–Inverse filtering
UNIT 3:
Run length coding, Lossy compression
Huffman Coding, Arithmetic Coding
Huffman Coding, Arithmetic Coding
lmage Compression: Need for compression
line detection, Edge models
Basic edge detection, Region based segmentation
region growing, Region splitting and merging
UNIT 4:
Dilation and Erosion process for binary and gray image with applications
Basic concept of Morpological Image Processing
Dilation and Erosion process for binary and gray image with applications
Opening & Closing for binary image with applications
Hit-or-Miss Transformation
Basic Morphological Algorithms
Morphological reconstruction
Opening & Closing for gray image with applications
Dilation and Erosion process for binary and gray image with applications
UNIT 5:
Introduction to computer vision
Image formation and Processing: Geometric primitives and transformations
Image formation and Processing: Geometric primitives and transformations
Photometric image formation
transformations- Applications of CV
