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Faster Progressive Wavelet Coding of Images

Authors: Cuixiang Zhong; Minghe Huang;

Faster Progressive Wavelet Coding of Images

Abstract

Progressive wavelet coding of Images (PWC) is a simple and efficient image coding algorithm. It is comparable to the state-of-the-art SPIHT. It is based only on two concepts: (1) data-independent reordering and blocking, and (2) low-complexity independent encoding of each block via adaptive run-length/Rice coding of the bit planes. Therefore PWC allows for progressive image encoding that is scalable both in resolution and bit rate. But its reordering and un-reordering algorithms are very complex and computation speed is limited, so this paper proposes a new reordering and un-reordering algorithm to improve significantly the encoding and decoding speed of PWC, making PWC have wide applications.

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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!
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