Digital Image Processing

Introduction to Digital Image Processing, Digital Image Representation, Digital Image Processing Systems, Digital Image Capture, Segmentation and Automatic Image Alignment, Feature Extraction and Image Analysis, Line Detection, Structure, Shape, Texture, Matching, Ranking, Digital Image Compression, Edge Detection Algorithms, Methodologies for the Design of Digital Filters, Optimal Linear Filters, Adaptive Filters, Human Vision Elements, Image Models, Sampling and Quantization, Image Transformation: Fourier Transform, DFT, FFT, Walsh, Hadamard, DCT, Hotelling, Hough, Picture Enhancement: Histogram Modification, Smoothing, Sharpening, Digital Image Restoring: Deterioration Model, Algebraic Method, Inverse Filtering.

Objectives

Introduction to Digital Image Processing, Digital Image Representation, Digital Image Processing Systems.

Prerequisites

Non required

Syllabus

Introduction to Digital Image Processing, Digital Image Representation, Digital Image Processing Systems, Digital Image Capture, Segmentation and Automatic Image Alignment, Feature Extraction and Image Analysis, Line Detection, Structure, Shape, Texture, Matching, Ranking, Digital Image Compression, Edge Detection Algorithms, Methodologies for the Design of Digital Filters, Optimal Linear Filters, Adaptive Filters, Human Vision Elements, Image Models, Sampling and Quantization, Image Transformation: Fourier Transform, DFT, FFT, Walsh, Hadamard, DCT, Hotelling, Hough, Picture Enhancement: Histogram Modification, Smoothing, Sharpening, Digital Image Restoring: Deterioration Model, Algebraic Method, Inverse Filtering.