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|a (NLM)15376593
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|a DE-627
|b ger
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|e rakwb
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|a eng
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|a Wang, Zhou
|e verfasserin
|4 aut
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|a Image quality assessment
|b from error visibility to structural similarity
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|c 2004
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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|a Date Completed 12.10.2004
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|a Date Revised 17.07.2023
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|a published: Print
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|a Citation Status MEDLINE
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|a Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we introduce an alternative complementary framework for quality assessment based on the degradation of structural information. As a specific example of this concept, we develop a Structural Similarity Index and demonstrate its promise through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000
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|a Comparative Study
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|a Evaluation Study
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Research Support, U.S. Gov't, Non-P.H.S.
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|a Validation Study
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|a Bovik, Alan Conrad
|e verfasserin
|4 aut
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|a Sheikh, Hamid Rahim
|e verfasserin
|4 aut
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|a Simoncelli, Eero P
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 13(2004), 4 vom: 10. Apr., Seite 600-12
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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|g volume:13
|g year:2004
|g number:4
|g day:10
|g month:04
|g pages:600-12
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|a AR
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|d 13
|j 2004
|e 4
|b 10
|c 04
|h 600-12
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