| Week | Topic | Downloads |
|---|---|---|
| Week 1 Sep 14 |
Introduction, Image Fundamentals, Sampling and Quantization,
Image
Formats Pre-Lab 1: Intro to Matlab Image Processing Toolbox |
Lecture 1 |
| Week 2 Sep 21 |
Pixel Relationships, Image Enhancement - Histogram Processing
Lab Project 1: Pixel Operations |
Lecture 2 |
| Week 3 Sep 28 |
Spatial Filtering, Edge Detection | Lecture 3 |
| Week 4 Oct 5 |
2-D Fourier Transform, Sampling, FFT, Enhancement in
Frequency Domain Lab Project 2: Spatial & Spectral Filtering |
Lecture 4 |
| Week 5 Oct 12 |
Image Restoration: Degradation Models, Inverse Filters, Deconvolution | Lecture 5 |
| Week 6 Oct 19 |
Image Restoration (continued) | Lecture 6 |
| Week 7
Oct 26 |
Guest Lecture - Mr. George
Lecakes: Modeling
and Visualization for Virtual Reality (include's demo of the CAVE(R)) Room 137, South Jersey Tech Park, www.sjtechpark.org |
At SJTP www.sjtechpark.org |
| Week 8
Nov 2 |
Lab Project 3: Degradation Models and Digital Image Restoration | Dr. Mandayam is on conference travel |
| Week 9
Nov 9 |
Lab 3 Help Session, Image Restoration: Wiener Filter, Geometric Transformations, Final Project Assignments | |
| Week
10 Nov 16 |
Image Compression, Information Theory, Huffman Coding, Lossy Compression, Discrete Cosine Transform, JPEG | Lecture
7 |
| Week 11 Nov 23 |
Hotelling (Karhunen-Loeve) Transform, Lossless Compression,
LZW Algorithm,
GIF Lab Project 4: Digital Image Compression |
Lecture 8 |
| Week 12 Nov 30 |
Project Help Session (Lab 4 and Final) |
|
| Week 13 Dec 7 |
Project Help Session (Lab 4 and Final) | |
| Week 14 Dec 14 |
Final
Project Presentations
|
|
| Finals
Week Dec 18, 5:00-7:00 pm |
Final Project
Presentations
|
|
| Dec 21 |
EVERYTHING TO BE GRADED IS DUE |
| Instructor | Schedule | Textbook | Tutorials/Demos | Grading | Homepage |