ECE6258 Course Syllabus

ECE6258

Digital Image Processing (3-0-3)

Technical Interest
Group

Digital Signal Processing

Prerequisites

A course in digital signal processing (ECE4270 or equivalent).

Corequisites

None

Catalog Description

An introduction to the fundamentals and the theory of multidimensional signal processing and digital image processing, including key applications in multimedia products and services including machine learning

Textbook(s)

.(optional) (comment: A list of reference materials will be provided in the syllabus. There is no required text for this course. Extensive course notes will be provided.)

Strategic
Performance
Indicators (SPIs)

SPIs are a subset of the abilities a student will be able to demonstrate upon successfully completing the course.

Topical Outline

1. Introduction to multidimensional signal processing
        2-D convolution and filtering
        2-D discrete-time Fourier transform
        2-D sampling and reconstruction

2. Transforms
        DFT
        DCT
	KLT 
	Wavelets and Directional Transforms 

3. Applications: 
        Image Coding 
        Optical Flow, Motion Estimation and Video Coding 
        Image Quality Assessment 
        Enhancement, Restoration, and Denoising 
        Edge/point/line Detection 
        Retrieval and Similarity Indexes 
        Saliency and Attention Models 

4. Machine Learning for Images 
        Intro. to Machine Learning and its Applications in Image Processing 
        Basis Functions for Images and Autoencoders 
        Fund. of Linear Classifiers and SVMs
        Basics of CNNs and Recent Applications in Image Classifications 
        Scene Labeling (Supervised and Weakly Supervised) 
        Overview of LSTM, RNN, and NTM for Image-related Applications 

5. Color Processing 
        Color Space
        Color Conversion 
        Color Component Transportation 

6. Recent Trends in Image Processing