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In order to intuitively test the effects of an image-processing algorithm on a "natural picture" a number of '''test images''' are in common use in the image-processing field. These images are generally chosen because they present a range of challenges to image reconstruction algorithms, such as the reproduction of fine detail and textures, sharp transitions and edges, and uniform regions. The most famous image is the ] image, from a centerfold photograph of a 1972 Playboy model ]. | In order to intuitively test the effects of an image-processing algorithm on a "natural picture" a number of '''test images''' are in common use in the image-processing field. These images are generally chosen because they present a range of challenges to image reconstruction algorithms, such as the reproduction of fine detail and textures, sharp transitions and edges, and uniform regions. The most famous image is the ] image, from a centerfold photograph of a 1972 Playboy model ]. | ||
== Gallery of common test images == | |||
The standard size of the images are usually 512x512 or 720x576. | |||
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==See also== | ==See also== |
Revision as of 00:35, 15 January 2007
In order to intuitively test the effects of an image-processing algorithm on a "natural picture" a number of test images are in common use in the image-processing field. These images are generally chosen because they present a range of challenges to image reconstruction algorithms, such as the reproduction of fine detail and textures, sharp transitions and edges, and uniform regions. The most famous image is the Lenna image, from a centerfold photograph of a 1972 Playboy model Lena Soderberg.
Gallery of common test images
The standard size of the images are usually 512x512 or 720x576.
See also
External links
- Computer Vison website - A large collection of links to various test images.
- http://www.hlevkin.com/ Collection of various test images
- Vision @ Reading - University of Reading's set of popular test images
- The USC-SIPI Image Database
- Denoising of natural images
- Image denoising
- Image structure preserving of lossy compression