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Optimal subtractive dither for near-lossless compression

Authors: Matthew Klimesh;

Optimal subtractive dither for near-lossless compression

Abstract

Subtractive dither is a technique which may be used to reduce the occurrence of compression artifacts from near-lossless compression. Standard subtractive dither incurs a cost, however, in the form of an increase in rate and distortion, and by giving the reconstructed signal an overall grainy appearance. It is possible to compromise between the costs and benefits of dithering by using dither signals which tend to take on smaller values than the standard dither signal. For reasonable cost and benefit metrics, the optimal dither signals are shown to be those which are uniform on intervals of the form [-k/2,k/2], where k/spl epsiv/[0,q] and q is the quantization step size. Additional results are given under more general assumptions.

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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!
1
Average
Average
Average
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