Transform Methods in Image Processing

S. Allen Broughton

MHC Faculty Seminar in Mathematics
Spring Term 2001 @ Mount Holyoke College

[Lectures] [Course Notes and Links]


   This web page contains the notes and supporting scripts for a series of lectures on transform methods in image processing. The talks focus on various vector and matrix  models of processing with a view towards:


Lecture 1: Introduction to signal and image processing and various transform examples

Lecture 2: The discrete Fourier transform  (DFT) and filtering/convolution (signal and images)

Lecture 3: Finish up Lecture 2

Course Notes and Links

The Mathematics of Image Processing - Course Notes for MA439 taught at Rose-Hulman

The note were published as a book in 2008 Discrete Fourier Analysis and Wavelets - Applications to Signal and Image Processing


This page last updated on 27 Jul 09.