Further lossless compression of JPEG images

Ingo Bauerman; Eckehard Steinbach

Further lossless compression of JPEG images

Ingo Bauerman
, Eckehard Steinbach

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Technical University of Munich

Research output: Contribution to conference › Paper › peer-review

6 Scopus citations

Abstract

In this paper we present an algorithm to further compress JPEG images without loss. The main contribution of this work is a sorting transform that allows reducing inter-block redundancy not exploited by the standard JPEG still image compression algorithm. Inter subband redundancy is also reduced by grouping of coefficients with similar statistics and entropy encoding in adaptive contexts. Tested on randomly selected JPEG images from the Internet, our approach reduces image file size on average by 14%.

Original language	English
Pages	145-149
Number of pages	5
State	Published - 2004
Event	Picture Coding Symposium 2004 - San Francisco, CA, United States Duration: 15 Dec 2004 → 17 Dec 2004

Conference

Conference	Picture Coding Symposium 2004
Country/Territory	United States
City	San Francisco, CA
Period	15/12/04 → 17/12/04

Cite this

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title = "Further lossless compression of JPEG images",

abstract = "In this paper we present an algorithm to further compress JPEG images without loss. The main contribution of this work is a sorting transform that allows reducing inter-block redundancy not exploited by the standard JPEG still image compression algorithm. Inter subband redundancy is also reduced by grouping of coefficients with similar statistics and entropy encoding in adaptive contexts. Tested on randomly selected JPEG images from the Internet, our approach reduces image file size on average by 14\%.",

author = "Ingo Bauerman and Eckehard Steinbach",

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TY - CONF

T1 - Further lossless compression of JPEG images

AU - Bauerman, Ingo

AU - Steinbach, Eckehard

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AB - In this paper we present an algorithm to further compress JPEG images without loss. The main contribution of this work is a sorting transform that allows reducing inter-block redundancy not exploited by the standard JPEG still image compression algorithm. Inter subband redundancy is also reduced by grouping of coefficients with similar statistics and entropy encoding in adaptive contexts. Tested on randomly selected JPEG images from the Internet, our approach reduces image file size on average by 14%.

UR - https://www.scopus.com/pages/publications/18144385151

M3 - Paper

AN - SCOPUS:18144385151

SP - 145

EP - 149

T2 - Picture Coding Symposium 2004

Y2 - 15 December 2004 through 17 December 2004

ER -

Further lossless compression of JPEG images

Abstract

Conference

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