Use of Flawed and Ideal Image Pairs to Drive Filter Creation by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{conf/dphoto/SridharDE16,
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title = "Use of Flawed and Ideal Image Pairs to Drive Filter
Creation by Genetic Programming",
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author = "Subash Marri Sridhar and Henry G. Dietz and
Paul Selegue Eberhart",
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editor = "Jackson Roland and Radka Tezaur and Dietmar Wueller",
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publisher = "Ingenta",
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year = "2016",
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volume = "2016",
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number = "18",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2470-1173",
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URL = "http://www.ingentaconnect.com/content/ist/ei/2016/00002016/00000018/art00023",
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DOI = "doi:10.2352/ISSN.2470-1173.2016.18.DPMI-016",
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bibdate = "2016-07-05",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/dphoto/dphoto2016.html#SridharDE16",
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booktitle = "Digital Photography and Mobile Imaging {XII}, San
Francisco, California, {USA}, February 14-18, 2016",
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URL = "http://ist.publisher.ingentaconnect.com/content/ist/ei/2016/00002016/00000018",
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abstract = "Traditional image enhancement techniques improve
images by applying a series of filters, each of which
repairs a specific type of flaw, but most modern
digital cameras produce images with a variety of subtle
interacting defects. Sequential repair is slow, and the
interactions limit the effectiveness. This paper
describes a fundamentally different approach in which a
single filter is created to repair the potentially
myriad interacting defects associated with a particular
camera configuration and set of exposure parameters.
Genetic programming (GP) is used to automatically
evolve a filter algorithm that will convert flawed
images into images minimally differing at the pixel
level from the corresponding provided ideal images. For
example, the flawed images might be shot at a high ISO
and the ideal ones might be the exact same static
scenes, aligned at the pixel level, but shot at a low
ISO using appropriately longer exposure times. Just as
easily, the flawed images might be technically well
corrected, while the ideal ones were manually-edited to
adjust and smooth skin tones, sharpen hair, enhance
shadow regions, et. The custom-coded parallel GP, its
performance, and performance of the generated filters
is discussed with an example.",
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notes = "Published in Electronic Imaging science and
technology",
- }
Genetic Programming entries for
Subash Marri Sridhar
Henry G Dietz
Paul Selegue Eberhart
Citations