ITK Release 4/A2D2 Projects/Deconvolution Algorithms: Difference between revisions
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= Motivation = | = Motivation = | ||
Deconvolution is an image processing algorithm used to remove blurring artifacts from images. It is often applied to fluorescence microscopy images, astronomical images, and images exhibiting motion blur. | |||
Currently, reference deconvolution algorithms are not available in the default ITK source code distribution (though some are available in this [http://www.insight-journal.org/browse/publication/753| Insight Journal article]). | |||
= Goals = | = Goals = | ||
Revision as of 20:07, 22 September 2010
Motivation
Deconvolution is an image processing algorithm used to remove blurring artifacts from images. It is often applied to fluorescence microscopy images, astronomical images, and images exhibiting motion blur.
Currently, reference deconvolution algorithms are not available in the default ITK source code distribution (though some are available in this Insight Journal article).
Goals
Data
Team
- Marc Niethammer (UNC Chapel Hill)
- Russell Taylor (UNC Chapel Hill)
- Cory Quammen (UNC Chapel Hill)
