Lossy compression

Known as: Lossy, Lossy data compression, Irreversible compression 
In information technology, lossy compression or irreversible compression is the class of data encoding methods that uses inexact approximations and… (More)
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Papers overview

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Highly Cited
2011
Highly Cited
2011
  • Xinpeng Zhang
  • IEEE Transactions on Information Forensics and…
  • 2011
This work proposes a novel scheme for lossy compression of an encrypted image with flexible compression ratio. A pseudorandom… (More)
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Highly Cited
2008
Highly Cited
2008
Recent results in compressive sampling have shown that sparse signals can be recovered from a small number of random measurements… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper, we cast natural-image segmentation as a problem of clustering texure features as multivariate mixed data. We model… (More)
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Highly Cited
2007
Highly Cited
2007
Transform-based lossy compression has a huge potential for hyperspectral data reduction. Hyperspectral data are 3-D, and the… (More)
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Highly Cited
2001
Highly Cited
2001
Image authentication veri es the originality of an image by detecting malicious manipulations. This goal is di erent from that of… (More)
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Highly Cited
2000
Highly Cited
2000
We show how spectral methods may be applied to 3D mesh data to obtain compact representations. This is achieved by projecting the… (More)
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Highly Cited
2000
Highly Cited
2000
The first part of this paper proposes an adaptive, data-driven threshold for image denoising via wavelet soft-thresholding. The… (More)
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Highly Cited
1998
Highly Cited
1998
This paper presents a robust image authentication approach that distinguishes malicious attacks from JPEG lossy compression. The… (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
1995
Highly Cited
1995
This paper introduces the concept of Geometry Compression, lowing 3D triangle data to be represented with a factor of 6 to times… (More)
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