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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 | ||
+ | |||
+ | 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]] | ||
+ | [[Image:Filter2_image.png|thumbnail|left|800px]] | ||
+ | [[Image:Filter3_image.png|thumbnail|left|800px]] |
Revision as of 11:58, 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).