Recommended Method for Evaluating the Performance of Colour-Difference Formulae
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F16%3A00000445" target="_blank" >RIV/46747885:24410/16:00000445 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Recommended Method for Evaluating the Performance of Colour-Difference Formulae
Popis výsledku v původním jazyce
A method is recommended to evaluate the strength of the relationship between visually-perceived colour differences in a given set of colour pairs and their corresponding predictions made by a colour-difference formula. This method is based on the Standardized Residual Sum of Squares (STRESS) index used in multidimensional scaling, and tests if two colour-difference formulae are or are not statistically significantly different. The same index can be also used to compute intra- and inter-observer variability in visual experiments. Beside important advances made in the field of colour-difference evaluation using reliable visual datasets currently available, the results achieved from the STRESS index indicate that it is not possible to recommend a more uniform colour space with a Euclidean colour-difference formula that is statistically significantly better than CIEDE2000.
Název v anglickém jazyce
Recommended Method for Evaluating the Performance of Colour-Difference Formulae
Popis výsledku anglicky
A method is recommended to evaluate the strength of the relationship between visually-perceived colour differences in a given set of colour pairs and their corresponding predictions made by a colour-difference formula. This method is based on the Standardized Residual Sum of Squares (STRESS) index used in multidimensional scaling, and tests if two colour-difference formulae are or are not statistically significantly different. The same index can be also used to compute intra- and inter-observer variability in visual experiments. Beside important advances made in the field of colour-difference evaluation using reliable visual datasets currently available, the results achieved from the STRESS index indicate that it is not possible to recommend a more uniform colour space with a Euclidean colour-difference formula that is statistically significantly better than CIEDE2000.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JS - Řízení spolehlivosti a kvality, zkušebnictví
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů