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Here, I will describe and explain the basics behind analyzing the spectrum of 2-D signals - principally images!
 
Here, I will describe and explain the basics behind analyzing the spectrum of 2-D signals - principally images!
 
- Ryan Scheidt
 
- Ryan Scheidt
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The following image, referred to as "Lena" is a famous image utilized in image processing algorithms. Here are some links: [http://en.wikipedia.org/wiki/Lenna], [http://ndevilla.free.fr/lena/]
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Here are three different 3X3 filters. The pictures show the original image (Lena), the filter, and the filtered image (done with conv2). MATLAB m-files available upon request.
  
 
Note: click on following images and follow "Full resolution" hyperlink to see full image (e.g. 1280 pixels wide).
 
Note: click on following images and follow "Full resolution" hyperlink to see full image (e.g. 1280 pixels wide).
 
[[Image:Filter1_image.png|thumbnail|left|800px]]
 
[[Image:Filter1_image.png|thumbnail|left|800px]]
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[[Image:Filter2_image.png|thumbnail|left|800px]]
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[[Image:Filter3_image.png|thumbnail|left|800px]]

Revision as of 12:58, 25 November 2009

Here, I will describe and explain the basics behind analyzing the spectrum of 2-D signals - principally images! - Ryan Scheidt

The following image, referred to as "Lena" is a famous image utilized in image processing algorithms. Here are some links: [1], [2]

Here are three different 3X3 filters. The pictures show the original image (Lena), the filter, and the filtered image (done with conv2). MATLAB m-files available upon request.

Note: click on following images and follow "Full resolution" hyperlink to see full image (e.g. 1280 pixels wide).

Filter1 image.png
Filter2 image.png
Filter3 image.png

Alumni Liaison

has a message for current ECE438 students.

Sean Hu, ECE PhD 2009