Latest revision as of 05:46, 15 November 2013

Lecture 36 Blog, ECE438 Fall 2013, Prof. Boutin

Wednesday November 13, 2013 (Week 13) - See Course Outline.

Jump to Lecture 1, 2, 3 ,4 ,5 ,6 ,7 ,8 ,9 ,10 ,11 ,12 ,13 ,14 ,15 ,16 ,17 ,18 ,19 ,20 ,21 ,22 ,23 ,24 ,25 ,26 ,27 ,28 ,29 ,30 ,31 ,32 ,33 ,34 ,35 ,36 ,37 ,38 ,39 ,40 ,41 ,42 ,43 ,44

Today we moved to the topic of image processing. We stated the formula for 2D convolution (in discrete-space). We used this formula to express the output of a discrete-space LTI system in terms of the input image f[m,n] and the unit input response h[m,n]. We then proceed to demonstrate how to use the formula using an average filter and a 6x6 digital image. The issue of the boundary conditions was discussed.

Relevant Rhea pages

• Table of CSFT pairs and properties
• a pdf file of the notes of Hector Santos on 2D signals and CSFT

Action items

• Work on your bonus point project.

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