Introduction and Fundamentals of Image Processing: Origins of Digital Image Processing –Examples – Fundamental Steps in Digital Image Processing – Elements of Visual Perception -A Simple Image Formation Model – Basic Concepts in Sampling and Quantization-Representing Digital Images- Zooming and Shrinking Digital Images – Some BasicRelationships between Pixels – Linear and Nonlinear Operations – Connectivity and Relationsbetween Pixels.Simple Operations- Arithmetic, Logical, Geometric Operations. Image Enhancement in theSpatial Domain and Frequency Domain: Some Basic Gray Level Transformations -Histogram Processing – Basics of Spatial Filtering – Smoothing Filters-Mean, Median, ModeFilters – Edge Enhancement Filters – Sobel, Laplacian, Robert, Prewitt filter, Contrast BasedEdge Enhancement Techniques.Design of Low Pass Filters – High Pass Filters- Edge Enhancement – Smoothening Filters inFrequency Domain. Butter Worth Filter, Homomorphic Filters in Frequency Domain.Comparative Study of Filters in Frequency Domain and Spatial Domain.Image Restoration – Segmentation and Morphology: A Model of the ImageDegradation/Restoration Process – Noise Models – Restoration in the Presence Of Noise Only– Spatial Filtering, Periodic Noise Reduction by Frequency Domain Filtering.Edge Detection – Line Detection – Curve Detection – Edge Linking and Boundary Extraction -Thresholding Algorithms- Region Based Segmentation – Region Growing – Connected26Components Labeling – Region Growing and Region Adjacency Graph (RAG), Split andMerge Algorithms – Morphology – Dilation, Erosion, Opening and Closing.
