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Example-based Image Manipulation

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons79441

Reinhard,  Erik
Computer Graphics, MPI for Informatics, Max Planck Society;

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Zitation

Reinhard, E. (2012). Example-based Image Manipulation. In Proceedings of the 6th European Conference on Colour in Graphics, Imaging and Video (pp. 1-4). Springfield, VA: IS&T.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0014-F36F-B
Zusammenfassung
Many color-related image adjustments can be conveniently executed by exposing at most a small number of parameters to the user. Examples are tone reproduction, contrast enhancements, gamma correction and white balancing. Others require manual touch-ups, applied by means of brush strokes. More recently, a new class of algorithms has emerged, which transfers specific image attributes from one or more example images to a target. These attributes do not have to be well-defined and concepts that are difficult to quantify with a small set of parameters, such as the �mood� of an image, can be instilled upon a target image simply through the mechanism of selecting appropriate examples. This makes example-based image manipulation a particularly suitable paradigm in creative applications, but also finds uses in more technical tasks such as stereo pair correction,video compression, image colorization, panorama stitching and creating night-time images out of day-light shots.