2011
DOI: 10.1002/col.20710
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Riemannian formulation and comparison of color difference formulas

Abstract: Study of various color difference formulas by the Riemannian approach is useful. By this approach, it is possible to evaluate the performance of various color difference fourmlas having different color spaces for measuring visual color difference. In this paper, the authors present mathematical formulations of CIELAB (∆E * ab ), CIELUV (∆E * uv ), OSA-UCS (∆EE) and infinitesimal approximation of CIEDE2000 (∆E00) as Riemannian metric tensors in a color space. It is shown how such metrics are transformed in othe… Show more

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Cited by 22 publications
(6 citation statements)
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“…The detailed discussion about difficulty for getting Riemannian metric of the CIEDE2000 can be found in the article of Pant and Farup. 29 Geodesic grids of the Riemannized DE 00 and their comparison with the Munsell hue and chromas at the different Munsell values are shown in Figs. 2(c), 3(c), and 4(c).…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…The detailed discussion about difficulty for getting Riemannian metric of the CIEDE2000 can be found in the article of Pant and Farup. 29 Geodesic grids of the Riemannized DE 00 and their comparison with the Munsell hue and chromas at the different Munsell values are shown in Figs. 2(c), 3(c), and 4(c).…”
Section: Resultsmentioning
confidence: 99%
“…The detailed explanation about this as well as the derivation of Riemannian metrics of above color difference formulas can be found in the authors' previous article. 29…”
Section: Riemannian Metricmentioning
confidence: 99%
See 1 more Smart Citation
“…The a*/b* ratio was computed to describe redness index [24,25]. Differences of color between control (TDC with no ingredients) and samples with added ingredients were evaluated using the ΔE value [26].…”
Section: Macroscopic Propertiesmentioning
confidence: 99%
“…The chroma log compression is required in the passage from large to small color differences. Because the image quality is evaluated in the visual situation of the small-medium color differences, we think this formula is a good candidate for the color image metrics [22,23].…”
Section: Color Difference Metricsmentioning
confidence: 99%