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Volume: 14 | Article ID: art00004
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A metric for predicting perceptual blackness
S Westland
TLV Cheung
OR Lozman
  DOI :  10.2352/CIC.2006.14.1.art00004  Published Online :  January 2006
Abstract

The performance of the black ink in ink-jet printing is of great importance to both ink-jet manufacturers and ink suppliers. Many black ink formulations contain several dyes or pigments and have a noticeable hue. The industry requires a suitable method for assessing the relative perceptual blackness of black inks. In this study, a set of black printed samples have been visually ranked in terms of perceptual blackness. Various candidate blackness indices have been evaluated and the best has been shown to be able to make pair-wise blackness comparisons with greater accuracy than the average observer.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
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 DOI 10.2352/CIC.2006.14.1.art00004
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  Cite this article 

S Westland, TLV Cheung, OR Lozman, "A metric for predicting perceptual blackness"  in Proc. IS&T 14th Color and Imaging Conf.,  2006,  pp 14 - 17,  https://doi.org/10.2352/CIC.2006.14.1.art00004

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Copyright © Society for Imaging Science and Technology 2006
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Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(20060101)2006:1L.14;1-
cic_v2006n1/splitsection4.xml
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Articles
A metric for predicting perceptual blackness
WestlandS
CheungTLV
LozmanOR
01012006
2006
1
14
17
2006
The performance of the black ink in ink-jet printing is of great importance to both ink-jet manufacturers and ink suppliers. Many black ink formulations contain several dyes or pigments and have a noticeable hue. The industry requires a suitable method for assessing the relative perceptual blackness of black inks. In this study, a set of black printed samples have been visually ranked in terms of perceptual blackness. Various candidate blackness indices have been evaluated and the best has been shown to be able to make pair-wise blackness comparisons with greater accuracy than the average observer.