Lossless compression

Known as: Magic compression algorithm, Maximum Compression Benchmark, Losslessly 
Lossless compression is a class of data compression algorithms that allows the original data to be perfectly reconstructed from the compressed data… (More)
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Topic mentions per year

Topic mentions per year

1958-2017
020040060019582017

Papers overview

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Highly Cited
2006
Highly Cited
2006
Lossless compression of color mosaic images poses a unique and interesting problem of spectral decorrelation of spatially… (More)
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Highly Cited
2005
Highly Cited
2005
We present a novel lossless (reversible) data-embedding technique, which enables the exact recovery of the original host signal… (More)
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Highly Cited
2003
Highly Cited
2003
In this paper, we consider the problem of lossless compression of video by taking into account temporal information. Video… (More)
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Highly Cited
2003
Highly Cited
2003
Wireless transmission of a single bit can require over 1000 times more energy than a single computation. It can therefore be… (More)
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Highly Cited
2002
Highly Cited
2002
Efficient algorithms for compressing geometric data have been widely developed in the recent years, but they are mainly designed… (More)
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Highly Cited
2000
Highly Cited
2000
LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and… (More)
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Highly Cited
1999
Highly Cited
1999
This paper sheds light on the recent least-square (LS)-based adaptive prediction schemes for lossless compression of natural… (More)
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Highly Cited
1996
Highly Cited
1996
We propose a new image multiresolution transform that is suited for both lossless (reversible) and lossy compression. The new… (More)
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Highly Cited
1996
Highly Cited
1996
LOCO-I (LOw COmplexity LOssless COmpression for Images) is a novel lossless compression algorithm for continuous-tone images… (More)
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Highly Cited
1991
Highly Cited
1991
The charter of SRC is to advance both the state of knowledge and the state of the art in computer systems. From our establishment… (More)
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