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|a eng
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| 100 |
1 |
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|a Wang, Zhou
|e verfasserin
|4 aut
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|a Quality-aware images
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| 264 |
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|c 2006
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|a Text
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|a ohne Hilfsmittel zu benutzen
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|b nc
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|a Date Completed 07.07.2006
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|a Date Revised 26.10.2019
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|a published: Print
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|a Citation Status MEDLINE
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| 520 |
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|a We propose the concept of quality-aware image, in which certain extracted features of the original (high-quality) image are embedded into the image data as invisible hidden messages. When a distorted version of such an image is received, users can decode the hidden messages and use them to provide an objective measure of the quality of the distorted image. To demonstrate the idea, we build a practical quality-aware image encoding, decoding and quality analysis system, which employs: 1) a novel reduced-reference image quality assessment algorithm based on a statistical model of natural images and 2) a previously developed quantization watermarking-based data hiding technique in the wavelet transform domain
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| 650 |
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 650 |
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 700 |
1 |
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|a Wu, Guixing
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Sheikh, Hamid Rahim
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Simoncelli, Eero P
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yang, En-Hui
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bovik, Alan Conrad
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1997
|g 15(2006), 6 vom: 30. Juni, Seite 1680-9
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|x 1057-7149
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|g year:2006
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|g day:30
|g month:06
|g pages:1680-9
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