lab3.425.09

lab3.425.09 - ECE 425 Digital Signal Processing Fall 2009...

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ECE 425 Digital Signal Processing Fall 2009 Lab #3: Image Transforms Introduction The goal of this project is to give you some experience with and intuition for image transforms. You’ll apply various image transforms to images with different amounts of frequency content and observe how transform coding gain translates to energy compaction performance and to visual results when coefficients are discarded. The transforms that you’ll use are four transforms: (1) the discrete cosine transform, (2) the Walsh-Hadamard transform, (3) the Haar transform, and (4) the discrete sine transform. Their transform coding gains are given in the table below for input signals modeled as Markov-1 processes. Images Eight images from the “USC database” are available on the course web page. Historically, before digital images were available to everyone with a cell phone or $100 digital camera, these were the images on which all image processing algorithms were designed and tested (the images were digitized at USC, hence the database name). These images are stored in raw format (raster-
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This note was uploaded on 01/16/2010 for the course ECE 4250 at Cornell.

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lab3.425.09 - ECE 425 Digital Signal Processing Fall 2009...

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