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A fully parallel algorithm for fractal image decoding using IFS codes

Authors: H.T. Chang; C.J. Kuo;

A fully parallel algorithm for fractal image decoding using IFS codes

Abstract

In this paper, we propose a new algorithm that can decode iterated function system (IFS) codes and is very suitable for parallel implementation of hardware. The initial points used in random iteration algorithm for each contractive affine transformation can be easily determined and hence no transient points are occurred. On the other hand, there are no additional computation and random number generators required in our algorithm. Moreover, the proposed algorithm shows the compatibility that it can be applied to the serial decoding algorithm to obtain a parallel configuration. Computer simulation shows that the proposed algorithm is very efficient and powerful for decoding a fractal image.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
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