Credits: 3
Prerequisite: EE 524. Digital Signal Processing
Tuesday & Thursday 8:00 - 9:15 AM; 1213 Coover
Image fundamentals. Image transforms-Fourier, cosine, Karhunen-Loeve. Stochastic models-autoregression, linear prediction. Enhancement-histogram equalization, smoothing, sharpening. Restoration-Wiener filter, least-squares filter, maximum entropy. Reconstruction-Radon transform, back projection, computed tomography, deconvolution. Coding-error free, predictive, transform. Edge detection.
All practical image processing applications will be done using MATLAB.