Tufts University
Department of Electrical and Computer Engineering
EN 74-ECE: Processing and Analysis of Multidimensional Signals
Fall 2007

Table of contents


Problem sets and solutions
 Lecture and other materials (subject to change)


Overview

The processing and analysis of multidimensional signals is an area of research and practice whose importance is growing rapidly both with the emergence of commodity imaging devices with resolutions undreamed of only as few years ago as well as with the development of state of the art sensors capable of collecting vast quantities of information across space and time.  Whether one is looking to stream higher resolution images and video over a wireless channel, exploit hyperspectral satellite image data to better quantify global climate change, or fuse information from multiple modalities to unlock the inner workings of the mind, fundamental methods in image processing play a crucial role.

In EN 74 this fall, we shall explore the basics of digital image processing.  The bulk of the class will be devoted to studying basic methods for the representation, manipulation, and display of images.  Popular formats for storing black and white as well as color images will bee presented.  Techniques for enhancing imagines that have poor contrast, are blurry, or corrupted by noise will form a large portion of the material we encounter this term.  The balance of the class will be concerned with methods for extracting information from image data; specifically, techniques for segmenting an image into regions of interest that are relevant for addressing an underlying problem such as red-eye removal.  Time permitting, the we shall also look into some basic methods for transforming and warping images.

A key component of this class will be the implementation and evaluation of these methods using the Matlab computer program.  Matlab is a tool that is used throughout the School of Engineering.  This class is designed to provide the students with a strong foundation in the use of this important tool.

Times and places

Staff

Prerequisites

None

Class requirements and preliminary grading

Texts

Required:
Other relevant texts include 

Links

Preliminary Schedule


Date Topic Stuff Happening
Sept. 6 Introduction
Sept. 13 Images and Matlab 1
Sept. 20 Images and Matlab 2
Sept. 27 Image contrast enhancement
Oct. 4 Basics of filtering
Oct. 11 Filtering for image smoothing
Oct. 18 Filtering for finding edges Project proposals due
Oct. 25 MIDTERM
Nov. 1 Image segmentation using edges
Nov. 8 Image segmentation using edges
Nov. 15 Image segmentation: region-based methods Project updates due
Nov. 29 Image warping and transformation
Dec. 6 Project presentations