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Description
| - In 1976, the International Commission on Illumination, CIE, defined a new color space called CIELAB. It was created to be a visually uniform color space. At the same time the color difference equation was developed to communicate color tolerances. However, CIELAB is not truly visually uniform, making colors having the same magnitude in different regions of the color space appears of different magnitude. Instead of developing a new color space, the color science community has developed several other color difference equations that use higher order mathematics to give more or less weight to CIELAB values in different areas of the color space, resulting in color difference equations that better correlate with visually perceived differences. We propose a method to improve existing color-difference formulas with additional visual data from color discrimination experiment. Published data used for development and testing of new color difference formulas are limited in chroma. In presented work was used high chroma dataset for testing of prediction performance of well known color difference formulas. Five color difference equations were evaluated to determine which best correlates with the perceived color difference. The experimental data could provide references for the improvement of uniform color space and color-difference formula.
- In 1976, the International Commission on Illumination, CIE, defined a new color space called CIELAB. It was created to be a visually uniform color space. At the same time the color difference equation was developed to communicate color tolerances. However, CIELAB is not truly visually uniform, making colors having the same magnitude in different regions of the color space appears of different magnitude. Instead of developing a new color space, the color science community has developed several other color difference equations that use higher order mathematics to give more or less weight to CIELAB values in different areas of the color space, resulting in color difference equations that better correlate with visually perceived differences. We propose a method to improve existing color-difference formulas with additional visual data from color discrimination experiment. Published data used for development and testing of new color difference formulas are limited in chroma. In presented work was used high chroma dataset for testing of prediction performance of well known color difference formulas. Five color difference equations were evaluated to determine which best correlates with the perceived color difference. The experimental data could provide references for the improvement of uniform color space and color-difference formula. (en)
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Title
| - COLOR DIFFERENCE EVALUATION AT HIGH CHROMATIC COLORS
- COLOR DIFFERENCE EVALUATION AT HIGH CHROMATIC COLORS (en)
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skos:prefLabel
| - COLOR DIFFERENCE EVALUATION AT HIGH CHROMATIC COLORS
- COLOR DIFFERENCE EVALUATION AT HIGH CHROMATIC COLORS (en)
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skos:notation
| - RIV/46747885:24410/14:#0004048!RIV15-MSM-24410___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/46747885:24410/14:#0004048
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - colorimetry; color difference; visual assesment (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Vik, Michal
- Viková, Martina
- Štěpánková, Marie
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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