Digital Image Processing

Course Nos. ECE.09.452 and ECE.09.552
Fall 2007

Course Schedule

Week Topic Downloads
Week 1
Sep 10
Introduction, Image Fundamentals, Sampling and Quantization, Image Formats
Pre-Lab 1: Intro to Matlab Image Processing Toolbox
Lecture 1
Week 2
Sep 17
Pixel Relationships, Image Enhancement - Histogram Processing
Lab Project 1: Pixel Operations
Lecture 2
Week 3
Sep 24
 Spatial Filtering, Edge Detection  Lecture 3
Week 4
Oct 1
2-D Fourier Transform 2-D Convolution and Correlation, Sampling, FFT, Enhancement in Frequency Domain
Lab Project 2: Spatial & Spectral Filtering
Lecture 4
Oct 7 Lab Make-up 2:30pm Room 204/206  
Oct 8 On conference travel - continue Lab Project 2: Spatial & Spectral Filtering  
Week 5
Oct 15
Image Restoration: Degradation Models, Inverse Filters, Deconvolution Lecture 5
Oct 21 Extra Lab: 5:00pm Room 204/206  
Oct 22 On conference travel - begin Lab Project 3: Degradation Models and Digital Image Restoration  
Week 6
Oct 29
Image Restoration: Wiener Filter, Geometric Transformations
Lab Project 3: Degradation Models and Digital Image Restoration
 Lecture 6
Week 7
Nov 5

MIDTERM EXAMINATION (TAKE-HOME)

Finish Wiener Filters, Final Project Discussion

Lecture 7
Week 8
Nov 12
Image Compression, Information Theory, Huffman Coding, Lossy Compression, Discrete Cosine Transform, JPEG
 Lecture 8
Week 9
Nov 19
Wavelet Transform-based Compression Techniques: Guest  lecture by Dr. Robi Polikar
Lab Project 4: Digital Image Compression
 Lecture 9
Week 10
Nov 26
Hotelling (Karhunen-Loeve) Transform, Lossless Compression, LZW Algorithm, GIF
Lecture 10
Week 11
Dec 3
Final Project Presentations

Ahiskali, Joseph

Fillman, Russell

DePasquale

Week 12
Dec 10
Final Project Presentations

Hak, Karnick

Patel

Podolak

Giacopelli, Aboyme

Elwell, Ayars

Week 13
Dec 17
Final Project Presentations, Final Project Reports Due 

Lecakes, Diglio

Preston

Carroll

McDevitt

Franco

Pierson


 
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