### Abstract

Lossless image compression is required in situations where compression is done once and decompression is to be performed a multiple number of times. A technique for asymmetric lossless image compression is presented. It gives superior performance compared to standard lossless compression techniques by exploiting global correlations. Global correlations means similar pixel patterns that re-occur within the image, not necessarily at close proximity. The developed technique can also be adapted for use in symmetric applications that require high compression ratios. The scheme is based on the notion of a prediction pattern which is simply a k×k array with each of its elements representing a prediction scheme from a given set of predictors.

Original language | English (US) |
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Title of host publication | Data Compression Conference Proceedings |

Publisher | IEEE |

Pages | 457 |

Number of pages | 1 |

State | Published - 1995 |

Event | Proceedings of the 5th Data Compression Conference - Snowbird, UT, USA Duration: Mar 28 1995 → Mar 30 1995 |

### Other

Other | Proceedings of the 5th Data Compression Conference |
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City | Snowbird, UT, USA |

Period | 3/28/95 → 3/30/95 |

### Fingerprint

### ASJC Scopus subject areas

- Hardware and Architecture
- Electrical and Electronic Engineering

### Cite this

*Data Compression Conference Proceedings*(pp. 457). IEEE.

**Asymmetric lossless image compression.** / Memon, Nasir D.; Sayood, Khalid.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Data Compression Conference Proceedings.*IEEE, pp. 457, Proceedings of the 5th Data Compression Conference, Snowbird, UT, USA, 3/28/95.

}

TY - GEN

T1 - Asymmetric lossless image compression

AU - Memon, Nasir D.

AU - Sayood, Khalid

PY - 1995

Y1 - 1995

N2 - Lossless image compression is required in situations where compression is done once and decompression is to be performed a multiple number of times. A technique for asymmetric lossless image compression is presented. It gives superior performance compared to standard lossless compression techniques by exploiting global correlations. Global correlations means similar pixel patterns that re-occur within the image, not necessarily at close proximity. The developed technique can also be adapted for use in symmetric applications that require high compression ratios. The scheme is based on the notion of a prediction pattern which is simply a k×k array with each of its elements representing a prediction scheme from a given set of predictors.

AB - Lossless image compression is required in situations where compression is done once and decompression is to be performed a multiple number of times. A technique for asymmetric lossless image compression is presented. It gives superior performance compared to standard lossless compression techniques by exploiting global correlations. Global correlations means similar pixel patterns that re-occur within the image, not necessarily at close proximity. The developed technique can also be adapted for use in symmetric applications that require high compression ratios. The scheme is based on the notion of a prediction pattern which is simply a k×k array with each of its elements representing a prediction scheme from a given set of predictors.

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UR - http://www.scopus.com/inward/citedby.url?scp=0029217235&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0029217235

SP - 457

BT - Data Compression Conference Proceedings

PB - IEEE

ER -