Measuring meaningful information in images: algorithmic specified complexity (English)
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In:
IET Computer Vision
;
9
, 6
;
884-894
;
2015
More details on this result
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Title:Measuring meaningful information in images: algorithmic specified complexity
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Contributors:
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Published in:IET Computer Vision ; 9, 6 ; 884-894
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Issue:6
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Publication date:2015-12-01
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Size:11 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:image coding, Shannon information model, ASC, meaningful information measurement, network graphic file format compression, computational complexity, correlation theory, simple images, algorithmic specified complexity, random images, correlated noise, conditional KCS complexity, data compression, image denoising, content-filled images, Kolmogorov-Chaitin-Solomonoff information model
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