ECE Course Outline
Digital Image Processing (3-0-3)
- A course in digital signal processing (ECE4270 or equivalent).
- 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
- Gonzalez and Woods, Digital Image Processing (3 edition), Prentice-Hall, 2008. ISBN 9780131687288(optional) (comment: Reading materials will be provided.
A list of reference books will be provided in the syllabus.
- 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
© 2019 Georgia Institute of Technology