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|a 10.1109/83.826775
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|a eng
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|a Mukherjee, J
|e verfasserin
|4 aut
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|a A graph-theoretic approach for studying the convergence of fractal encoding algorithm
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|c 2000
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|a Text
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|a ƒaComputermedien
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|a Date Completed 02.10.2012
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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 In this paper, we present a graph-theoretic interpretation of convergence of fractal encoding based on partial iterated function system (PIFS). First we have considered a special circumstance, where no spatial contraction has been allowed in the encoding process. The concept leads to the development of a linear time fast decoding algorithm from the compressed image. This concept is extended for the general scheme of fractal compression allowing spatial contraction (on averaging) from larger domains to smaller ranges. A linear time fast decoding algorithm is also proposed in this situation, which produces a decoded image very close to the result obtained by an ordinary iterative decompression algorithm
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|a Journal Article
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|a Kumar, P
|e verfasserin
|4 aut
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|a Ghosh, S K
|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 9(2000), 3 vom: 15., Seite 366-77
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|u http://dx.doi.org/10.1109/83.826775
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