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525.419 - Introduction to Digital Image and Video Processing Course Homepage

Instructor Information

Nasser Nasrabadi

Email: nnasraba@arl.army.mil
Work Phone: (301) 394-0806

Course Information

Course Description

This course provides an introduction to the basic concepts and techniques used in digital image and video processing. Two-dimensional sampling and quantization are studied, and the human visual system is reviewed. Edge detection and feature extraction algorithms are introduced for dimensionality reduction and feature classification. High-pass and bandpass spatial filters are studied for use in image enhancement. Applications are discussed in frame interpolation, filtering, coding, noise suppression, and video compression. Some attention will be given to object recognition and classification, texture analysis in remote sensing, and stereo machine vision.

Prerequisites

525.427 Digital Signal Processing.

Course Goal

Learn the basics of image processing.

Course Objectives

  • Learn basics of two dimensional signal processing
  • Learn 2-D filtering and image enhancing
  • Learn feature extraction and pattern classification

  • Understand image compression and JEPG2000

When This Course is Typically Offered

SUMMER Session

Syllabus

Topics Covered

  • Introduction to Image Processing and its applications
  • Two dimensional sampling theory, quantization and convolution
  • Two dimensional convolution and correlation
  • Image transforms and their properties
  • Image enhancement by Histogram modification
  • Image filtering, image sharpening and noise removal
  • Image compression
  • image segmentation
  • Edge detection techniques
  • Feature extraction and representation
  • Model-based object recognition
  • Introduction to neural networks for pattern classification

Student Assessment Criteria

6-8 HWS 20%
Mid-Term Exam 35%
Final Exam (Matlab Project) 45%

Computer and Technical Requirements

MATLAB

Textbooks

Textbook information for this course is available online through the MBS Direct Virtual Bookstore.

Course Notes

There are notes for this course.

(Last Modified: 04-09-2009 at 12:18:35 PM)