Schedule

Event

Date

Description

Course Material
Lecture

03/30/2026
Monday

Course Introduction and 2D Fourier transform
[Intro Slides] [Analog Images: Part I]
- What is image processing?
- The basic objects: Images
- Vector-space formulation of analog images
- 2D systems
- 2D Fourier transform
Lecture

04/01/2026
Wednesday

2D LSI Systems
[Analog Images: Part II]
- Orientation estimation
- Characterization of LSI systems
- Lab 0 Out
Discussion

04/01/2026
Wednesday

Python and Jupyter overview
Lecture

04/06/2026
Monday

Examples of LSI Systems and Image Acquisition
[Analog Images: Part III] [Image Sampling and Acquisition: Part I]
- LSI systems
- Sampling theory
- Aliasing problems
- HW 1 Out
Due

04/06/2026 23:55
Monday

Lab 0 Due
Lecture

04/08/2026
Wednesday

Image Quantization
[Image Sampling and Acquisition: Part II]
- Image quantization
- Grayscale vs. spatial resolution tradeoff
Discussion

04/08/2026
Wednesday

Linearity and shift invariance
Lecture

04/13/2026
Monday

Image Quantization and Filtering
[Image Sampling and Acquisition: Part III] [Discrete Images and Filtering: Part I]
- Lloyd-Max quantization
- Discrete images and filtering
- Lab 1 Out
Due

04/13/2026 23:55
Monday

Homework 1 Due
Lecture

04/15/2026
Wednesday

Image Filtering
[Discrete Images and Filtering: Part II]
- Filtering with masks
- Equivalent filter characterizations of filters
- HW 2 Out
Discussion

04/15/2026
Wednesday

Image filtering in Python
Lecture

04/20/2026
Monday

Practical Image Filtering
[Discrete Images and Filtering: Part III]
- Filter separability
- Practical considerations for filtering
Due

04/20/2026 23:55
Monday

Lab 1 Due
Lecture

04/22/2026
Wednesday

IIR Filters and Binary Morphology
[Discrete Images and Filtering: Part IV] [Morphological Processing: Part I]
- IIR filter implementation
- Binary morphology
Discussion

04/22/2026
Wednesday

Quantization and aliasing
Lecture

04/27/2026
Monday

Gralevel Morphology and Image Normalization
[Morphological Processing: Part II] [Image Processing Tasks: Part I]
- Graylevel morphology
- (Local) image normalization
- Midterm Practice Problems Out
Due

04/27/2026 23:55
Monday

Homework 2 Due
Lecture

04/29/2026
Wednesday

Midterm Review
- Midterm Practice Problems
Discussion

04/29/2026
Wednesday

Midterm Review
Exam

05/04/2026 11:00
Monday

Midterm Exam
Lecture

05/06/2026
Wednesday

Template Matching and Edge Detection
[Image Processing Tasks: Part II]
- Template matching and matched filters
- Edge detection and Canny’s algorithm
- What is image segmentation?
- HW 3 Out
Discussion

05/06/2026
Wednesday

Morphological processsing in Python
Lecture

05/11/2026
Monday

Segmentation and Radon Transforms
[Image Processing Tasks: Part III] [Directional Image Analysis: Part I]
- Image Segmentation
- Radon transforms
Lecture

05/13/2026
Wednesday

Radon Transforms and Directional Image Analysis
[Directional Image Analysis: Part II]
- Radon transforms
- Directional derivatives
- Steerability
Discussion

05/13/2026
Wednesday

Morphological processsing
Due

05/13/2026 23:55
Wednesday

Lab 2 Due
Lecture

05/18/2026
Monday

Image Reconstruction
[Image Reconstruction]
- Image reconstruction as an inverse problem
- Imaging modalities
- Discretization of inverse problems
- Linear algebra and least-squares
- HW 4 and Lab 3 Out
Due

05/18/2026 23:55
Monday

Homework 3 Due
Lecture

05/20/2026
Wednesday

Least Squares for Image Reconstruction
- Least-squares solutions
- Vector calculus review
- Singular value decomposition (SVD)
- Landweber iteration
NO CLASS -- Memorial Day

05/25/2026 00:00
Monday
Due

05/25/2026 23:55
Monday

Lab 3 Due
Lecture

05/27/2026
Wednesday

(Proximal) Gradient Descent
- Regularized least-squares
- Gradient descent
- Proximal gradient descent
- Final Practice Problems Out
Due

05/29/2026 23:55
Friday

Homework 4 Due
Lecture

06/01/2026
Monday

Proximal Gradient Descent and Plug-and-Play Methods
- Proximal gradient descent
- Plug-and-Play methods for image reconstruction
- Lab 4 Out
Exam

06/03/2026 11:00
Wednesday

Final Exam