Course Description
Image processing and computer graphics. Topics include: image representation, restoration, transformation, classification, compression, enhancement, segmentation, image filter, design, histogram techniques, sampling and quantization, Fast Fourier Transform, image data structures, parallel/distributed processing, illumination models and surface-rendering methods. A number of applications will be presented as case studies.
Athena Title
IMAGE PROCESSING
Prerequisite
CSCI 4810/6810 or permission of department
Grading System
A - F (Traditional)
Course Objectives
Standard image processing routines and systems. The course is intended to address the problems of designing and building an image processing library of tools. Efficient algorithms and optimization techniques form the core of this course. A number of image processing applications will also be presented.
Topical Outline
Introduction to image processing operations, including: low- and high-pass filters, component labeling, histogram techniques, edge detection, region processing, noise reduction, image enhancement techniques, image segmentation, image data structures and pyramids, software tools for imaging, compression, image analysis and applications in vision, face recognition, remote sensing, digital mamography, and other applications, ... Introduction to parallel and distributed processing with imaging applications in mind.
Syllabus