Purdue University
School of Electrical and Computer Engineering
Digital Image Processing
Laboratories
Instructions:
These laboritories are designed to illustriate concepts in image processing
and analysis through actual processing of images using Matlab and ANSI C.
If you are unfamiliar with Matlab, please refer to Purdue's ECN
Matlab
tutorials.
EE637 Digital Image Processing I - Laboratories
Links to Course notes and
Video Lectures
Image Filtering
2-D Random Processes
Neighborhoods and Connected Components
Pointwise Operations and Gamma
Eigen-Image Analysis
Introduction to Colorimetry
Image Restoration
Image Halftoning
Deep Learning and Convolutional Neural Networks
JPEG Image Coding
EE641 Model Based Image Processing - Laboratories
Links to Course web page and
Course notes
MAP Image Restoration
The EM Algorithm
Discrete Markov Random Fields and Segmentation
Model-Based Tomography Laboratory
Questions or comments should be sent to: