Digital Image Processing Laboratories

Getting Started

• Lab 1: The Thingy Competition
• Lab 2: Background — git, conda, python, and PyTorch

ECE 60141: Foundations of Computational Imaging

Links to the course web page and the course textbook.

• Lab 3: Linear Forward Models and MAP Reconstruction
• Lab 4: MAP Reconstruction with Non-Gaussian Priors
• Lab 5: MAP Reconstruction with Plug-and-Play
• Lab 6: The EM Algorithm
• Lab 7: Stochastic Sampling

ECE 63700: Digital Image Processing I

Python-based laboratories. Course notes.

• 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 (still in MATLAB)