Performance of a color-difference formula based on OSA-UCS space using small-medium color differences

Abstract

An investigation of the color metrics and the complexity of the CIEDE2000 formula shows that CIELAB space is inadequate to represent small-medium color differences. The OSA-UCS (Uniform Color Space) Committee has shown that no space with uniform scale for large color differences exists. Therefore the practical way for color-difference specification is a color-difference formula in a nonuniform space. First, the BFD (Bradford University) ellipses are considered in the OSA-UCS space, and their very high regularity suggests a new and very simple color-difference formula at constant luminance. Then the COM (combined) data set used for the development of the CIEDE2000 formula is considered in the OSA-UCS space, and the color-difference formula is extended to sample pairs with a different luminance factor. The value of the performance factor PF/3 for the proposed OSA-UCS-based formula shows that the formula performs like the more complex CIEDE2000 formula for small-medium color differences.

Multi-level contrast filtering in image difference metrics

“…This formula is as equally good as CIEDE2000 in the prediction of many available empirical datasets, but with higher simplicity [21]. The transformation between the tristimulus space and the OSA-UCS psychometric space is simple and shows a clear relationship with visual processing.…”

“…The transformation from the tristimulus space (X 10 , Y 10 , Z 10 ), where Y 10 is the percentage luminance factor, and the OSA-UCS space (L OSA , G, J) is the following: the lightness is the same as defined by the OSA-UCS committee: The ellipses show a general regularity that suggests the hue-independence hypothesis and consequently a simple ellipsoidal color difference formula [5,21], which is based on all the existing data (COM dataset [14]). The next step towards the Euclidean formula [21] is the logarithmic compression of the chroma ( Figure 3). …”

Identifying phenomenal consciousness

“…Similar experiences are represented by points that are located close to each other within the space and dissimilar experiences are located further away from each other within the space. We know a lot about the structure of various phenomenal spaces, particularly colour space (although see Hardin, 1999;Huertas, Melgosa, et al, 2006;Kuehni, 2003aKuehni, , 2003bPalmer, 1999;Regier, Kay, & Khetarpal, 2007 for details of some of the unanswered questions regarding phenomenal colour space). For example, standard representations of colour space have three dimensions: hue, saturation and lightness (although see Kuehni, 2003a for why three dimensions may be insufficient).…”

“…Instead current systems are developed to meet various practical needs and each emphasises or glosses over important aspects of our phenomenal experiences (Hardin, 1999). Although there is considerable data regarding the nature of our phenomenal colour space, there is still considerable uncertainty regarding the overall shape and metric of this space (Huertas et al, 2006;Kuehni 2003aKuehni , 2003bRegier et al, 2007). For example phenomenal colour space does not seem to be Euclidean or isotropic (Kuehni, 2003a(Kuehni, , 2003b.…”

Study on the Correlation between Fe2+ and Peridot's Yellow Green Color and Quality Evaluation of Color Based on CIE1976 L*a*b* Uniform Color Space

“…The reason why we use the uniform color space CIE1976 L * a * b * is the difference of yellow-green color we calculated based on this color space was close to the difference we observe by naked eye. So we quantitative characterized peridot's color based on the uniform color space CIE1976 L * a * b * [6][7][8][9][10][11][12][13] , combining with K-means clustering analysis and Fisher discriminant analysis to classify peridot's color and evaluate its quality, which provides reference to the evaluation of peridot's color.…”