Louisiana State University

Department of Electrical and Computer Engineering

EE 7730 - Image Analysis I

Fall 2006

 

 

Class Schedule:

    MWF 1:40pm - 2:30pm

    CEBA - 3129

 

Instructor:

    Dr. Bahadir K. Gunturk

    Room: ECE - 225

    Tel: (225) 578 - 5621

    Office Hours: MW 2:40am-4:30pm

 

Midterm: Oct. 16 (Monday)

 

Syllabus

 

Date	Lecture	Study Material	Notes
Week 8/29 and Week9/4	Introduction, digital image processing fundamentals, linear systems, convolution, edge detection, matlab	Lecture slides1 Lecture slides2
Week 9/11	Fourier Transform	Lecture slides3 Lecture slides4
Week 9/18	DCT, Image Enhancement	Lecture slides5 Lecture slides6
Week 9/25	Image Enhancement	Lecture slides7	Problem Set 1, cameraman, einstein
Week 10/2	Image Restoration	Lecture slides8	Exercise.m
Week 10/9	Image Restoration	Least squares estimation with/without regularization, Spatial domain vs. Frequency domain, Iterative estimation using the steepest descent technique, Projection Onto Convex Sets (POCS) method	Sample Questions for Midterm Problem Set 2 pocs pocs_test Notes from previous years
Week 10/16	Image Segmentation, Mahalanobis distance	Lecture slides9	Midterm
Week 10/23	Morphology	Lecture slides10	Problem Set 3
Week xx/yy	Optical Flow	Lecture slides11
Week xx/yy	Parametric motion estimation, RANSAC, Exercises	Lecture slides12
Week xx/yy	Stereo Vision	Lecture slides13

 

Project Topics:

 

The following are some of the papers/topics that you can choose for your semester project.

You will turn in a report and make a 15-minute presentation at the end of the semester.

You are supposed implement part or all of an algorithm in Matlab.

 

Progress reports are due Nov.1. (Email me a one or two page report on what you have done so far by Nov.1 midnight.)

Final reports are due Dec.4. (Email me your final report, Matlab code, and presentation slides)

 

Presentation Schedule

Monday (Dec.4): Edwards, Freeman, Mutyala

Wednesday (Dec.6): Sundarraj, Tabbal, Thomas

Friday (Dec.8): Yun, Zhang

 

Feature Detection:

• C. Harris and M. Stephens, "A combined corner and detector"
• S. M. Smith and J. M. Brady, "SUSAN - A New Approach to Low Level Image Processing"
• K. Mikolajczyk and C. Schmid, "Scale and affine invariant interest point detectors"

Denoising:

• R. Coifman ansd D. Donoho, "Shift invariant wavelet denoising"
• C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images"
• P. Kovesi, "Phase preserving denoising of images."

Steerable Filters:

• W. T. Freeman, E. H. Adelson, "The Design and Use of Steerable Filters"
• E. P. Simoncelli, W. T. Freeman, E. H. Adelson, and D. J. Heeger, "Shiftable Multiscale Transforms"

Other Papers:

• W. T. Freeman, T. R. Jones, E. C. Pasztor, "Example-based super-resolution"
• B. K. Gunturk, Y. Altunbasak, R. Mersereau, "Color plane interpolation using alternating projections"
• M. Bertalmio, G. Sapiro, C. Ballester and V. Caselles, "Image inpainting"
• M. Figueiredo and R. Nowak,"An EM algorithm for wavelet-based image restoration"

Any Topic: You may also choose any other project topic. Some examples are:

• Face detection, object tracking (for example, fingertip tracking as an interface to computer), red eye removal in digital images, reducing vignetting, etc.