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Image compression

Known as: Compression 
The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Abstract The bandwidth of the communication networks has been increased continuously as results of technological advances… Expand
Highly Cited
2017
Highly Cited
2017
We describe an image compression method, consisting of a nonlinear analysis transformation, a uniform quantizer, and a nonlinear… Expand
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Highly Cited
2001
Highly Cited
2001
The aim of this paper is to examine a set of wavelet functions (wavelets) for implementation in a still image compression system… Expand
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Highly Cited
1999
Highly Cited
1999
  • D. Taubman
  • Proceedings International Conference on Image…
  • 1999
  • Corpus ID: 1990936
A new image compression algorithm is proposed, based on independent embedded block coding with optimized truncation of the… Expand
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Highly Cited
1997
Highly Cited
1997
Abstract We construct a new adaptive basis of functions which is reasonably well localized with only one peak in frequency. We… Expand
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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… Expand
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Highly Cited
1995
Highly Cited
1995
From the contents: Recent theoretical results on fast encoding and decoding methods, various schemes for encoding images using… Expand
Highly Cited
1993
Highly Cited
1993
Fractals are geometric or data structures which do not simplify under magnification. Fractal Image Compression is a technique… Expand
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Highly Cited
1992
Highly Cited
1992
A novel theory is introduced for analyzing image compression methods that are based on compression of wavelet decompositions… Expand
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Highly Cited
1988
Highly Cited
1988
  • J. Daugman
  • IEEE Trans. Acoust. Speech Signal Process.
  • 1988
  • Corpus ID: 1984348
A three-layered neural network is described for transforming two-dimensional discrete signals into generalized nonorthogonal 2-D… Expand
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