Calculation of CIELAB hue difference adjustment factors from an ideal hue circle

Kuehni, Rolf G.

doi:10.1002/(sici)1520-6378(199908)24:4<292::aid-col9>3.0.co;2-q

Color Res. Appl.

1999

DOI: 10.1002/(sici)1520-6378(199908)24:4<292::aid-col9>3.0.co;2-q

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Calculation of CIELAB hue difference adjustment factors from an ideal hue circle

Rolf G. Kuehni¹

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2009

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Cited by 3 publications

References 7 publications

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Analysis of five sets of color difference data

Kuehni¹

2001

Color Res. Appl.

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In a systematic optimization process five sets of recent color difference data have been analyzed for commonalities. Adjustment of the X tristimulus values and application of a systematic, surround dependent S L function was found to be beneficial in all cases. Other modifications of the CIE94 color-difference formula were found to bring improvements only in some cases and may be spurious. Application of what seem to be nonsystematic scale factors in a range of 0.78 -1.38 improve correlation between calculated and visual color differences in all cases. After optimization, calculated color difference values explain between 80 -90% of the variation in visual color differences. Some of the datasets are shown not to be well suited for formula optimization. Optimization in all cases by set, for three sets of data by quadrant in the a * b * diagram, and for one set by subset did not reveal any additional systematic trends for improvement. It appears that the basic structure of CIE94, with the recommended modifications, is a good approximation as a model for color-difference evaluation in the range from 0.5-10 units of difference. The model is surround dependent. A number of issues remain to be resolved.

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Analysis of five sets of color difference data

Kuehni¹

2001

Color Res. Appl.

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Notes toward a verifiable vector algebraic basis for colorimetric modeling

Oulton

2009

Color Research & Application

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The presented notes aim toward improved models of the scalar visual response to flat-field stimuli, and are prompted by unease over the complexity of existing colour difference models. Some of the basic assumptions of colorimetry are examined in detail, and analytical methods whereby these assumptions can be investigated experimentally are presented. A key finding is that the standard CIE colorimetric model is verifiably correct as a predictor of point colour identity and metameric visual equivalence. It is however demonstrated to be a misleading basis for modeling colour difference, and an alternative scalar reference basis and experimental analysis method are presented

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Trade-off between migration and reproduction: does a high workload affect body condition and reproductive state?

et al. 2008

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Calculation of CIELAB hue difference adjustment factors from an ideal hue circle

Cited by 3 publications

References 7 publications

Analysis of five sets of color difference data

Analysis of five sets of color difference data

Notes toward a verifiable vector algebraic basis for colorimetric modeling

Trade-off between migration and reproduction: does a high workload affect body condition and reproductive state?

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