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Volume: 24 | Article ID: art00044
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ICC Profile Color Table Compression
Chuohao Tang
Weibao Wang
Sean Collison
Mark Shaw
Jay Gondek
Amy Reibman
Jan Allebach
  DOI :  10.2352/ISSN.2169-2629.2017.32.260  Published Online :  November 2016
Abstract

ICC profiles are widely used to provide transformations between different color spaces in different devices. The color lookup tables (CLUTs) in the profiles will increase the file sizes when embedded in color documents. In this paper, we discuss a compression method that decreases the storage cost of the CLUTs. A compressed color table includes quantized DCT coefficients for the color table, the additional nodes with large color difference, and the coefficients bit assignment table. This method supports lossy table compression to minimize the network traffic and delay, and also achieves relatively small maximum color difference.

Journal Title : Color and Imaging Conference
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
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 DOI 10.2352/ISSN.2169-2629.2017.32.260
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Chuohao Tang, Weibao Wang, Sean Collison, Mark Shaw, Jay Gondek, Amy Reibman, Jan Allebach, "ICC Profile Color Table Compression"  in Proc. IS&T 24th Color and Imaging Conf. ,  2016,  https://doi.org/10.2352/ISSN.2169-2629.2017.32.260

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Copyright © Society for Imaging Science and Technology 2016
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology
10.2352/ISSN.2169-2629.2017.32.260
2166-9635(20161107)2016:1L.260;1-
s44.phd
/ist/cic/2016/00002016/00000001/art00044
Articles
ICC Profile Color Table Compression
TangChuohao
WangWeibao
CollisonSean
ShawMark
GondekJay
ReibmanAmy
AllebachJan
07112016
2016
1
260
265
2016
ICC profiles are widely used to provide transformations between different color spaces in different devices. The color lookup tables (CLUTs) in the profiles will increase the file sizes when embedded in color documents. In this paper, we discuss a compression method that decreases the storage cost of the CLUTs. A compressed color table includes quantized DCT coefficients for the color table, the additional nodes with large color difference, and the coefficients bit assignment table. This method supports lossy table compression to minimize the network traffic and delay, and also achieves relatively small maximum color difference.