Course Information

Instructor	V. Paul Pauca (paucavp AT w f u DOT e d u)
Time:	T - Th, 1:30 - 2:45, Manchester 244
Office hours	M W F 10-12; T Th 3 - 4; or by appointment
Syllabus	PDF
Textbook	Digital Image Processing Using MATLAB - Gonzales, Woods, and Eddins

Homework Assignments

Introduction to Matlab [pdf] Due Thursday Sept 8, 2009.
Image: amazon.tif
Basis code for spectral analysis question: spectralAnalysis.m
Linear and Nonlinear Filtering in the Spatial Domain [pdf] Due Thursday Sept 24, 2009.
Convolution and Linear Operators [pdf] Due Thursday Oct 29, 2009.
Lab: Image blurring and restoration. [pdf]
Image restoration. [pdf]

Introduction [pdf]
Basics of MATLAB programming [pdf]
Basics of MATLAB vectorization [pdf]
Imaging basics: representation, pixel relationships, distance measurements
Linear and nonlinear operators, pixel-basis transformations or point/zero-memory operators
More on point operators: constrast stretching, intensity-level slicing, bit extraction
Testing code: contrastStretch.m
Range compression, powerlaw transformationHistogram equalization
1-D and 2-D continuous and discrete convolution, boundary conditions, convolution size, complexity
Representation of signals in terms of elementary functions, Taylor expansion, sine and cosine expansion (Fourier series)
The 2-D continuous Fourier transform, the 2-D discrete Fourier transform, the DFT matrix
Image representation in terms of elementary Fourier basis, properties of the Fourier transform and convolution theorem
Testing code: dft2Basis.m, dft2Recons.m
Frequency filtering: ideal lowpass and highpass filters, Gaussian filters, bandpass and selective filtering
Test image: testPattern.tif

Project 1: Fuzzy filtering, high dynamic range extension, and compression.
Templates in Word and LaTeX formats can be found here. There are two LaTeX options available, either should work fine. Be sure to download all relevant files.