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231223s2001 xx |||||o 00| ||eng c |
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|a 10.1109/83.941851
|2 doi
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|a eng
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|a Tong, C S
|e verfasserin
|4 aut
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|a Fast fractal image encoding based on adaptive search
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|c 2001
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|a Text
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|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 14.12.2009
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|a Date Revised 07.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a This paper presents a new adaptive search approach to reduce the computational complexity of fractal encoding. A simple but very efficient adaptive necessary condition is introduced to exclude a large number of unqualified domain blocks so as to speed-up fractal image compression. Furthermore, we analyzed an unconventional affine parameter that has better properties than the conventional luminance offset. Specifically, we formulated an optimal bit allocation scheme for the simultaneous quantizations of the usual scaling and the aforementioned unconventional affine parameter. Experiments on standard images showed that our adaptive search method yields superior performance over conventional fractal encoding
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|a Journal Article
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|a Pi, M
|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 10(2001), 9 vom: 15., Seite 1269-77
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|g day:15
|g pages:1269-77
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|u http://dx.doi.org/10.1109/83.941851
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