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EE 565

Digital Image Processing

Wilkes University 3 credits Electrical Engineering

Course Description

Scenes, images and digital pictures; linear operations on pictures; discrete picture transforms; random variables and random fields; visual perception. Sampling using array of points and orthonormal functions; quantization; Karhunen-Loeve, Fourier, Hadamard, and cosine compression; predictive block truncation, error-free compression; rate-distortion function. Enhancement: gray scale modification, sharpening and smoothing; restoration: inverse least-squares and recursive filtering, constrained deconvolution. Pre-Requisites: EE 460.

Code
EE 565
Credits
3
Subject
Electrical Engineering

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