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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/] | 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/] | ||
| − | [[Image:Lena.gif|left]] | + | [[Image:Lena.gif|thumbnail|left|256px]] |
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. | 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. | ||
Revision as of 13:01, 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).
