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A data set for evaluating colour rendering property of sources Ronnier Luo June 2010

A data set for evaluating colour rendering property of sources Ronnier Luo June 2010. Test Source (SPD). Ref. ill (SPD). CCT. Ri. Calculating XYZ. (XYZ)-T. (XYZ)-R. CAM02-UCS. CRI-CAM02UCS= Σ (100-8 D Ei)/8. Colour Rendering Index. Test Source (SPD). Ref. ill (SPD). CCT.

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A data set for evaluating colour rendering property of sources Ronnier Luo June 2010

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  1. A data set for evaluating colour rendering property of sourcesRonnier LuoJune 2010

  2. Test Source (SPD) Ref. ill (SPD) CCT Ri Calculating XYZ (XYZ)-T (XYZ)-R CAM02-UCS CRI-CAM02UCS=Σ(100-8DEi)/8 Colour Rendering Index Test Source (SPD) Ref. ill (SPD) CCT Calculating XYZ (XYZ)-T (XYZ)-R vK-CAT U*V*W* (XYZ)-TR CIE-CRI=Σ(100-4.6DEi)/8

  3. More information could be useful than just a single CRI number • CQS Gamut plot • Vector diagram • R1 = DE*ab/C*r • R2 = DCh*ab/C*r Peter van der Burgt, Communication of colour rendering property of light sources

  4. Metamerism S B D65 D65 S B A A Colour Inconstancy and Metamerism Colour Inconstant (B)

  5. Test Source (SPD) Ref. ill (SPD) CCT Test Ill. (A, SPD) Ref. ill (D65, SPD) Ri Calculating XYZ R Calculating XYZ (XYZ)-T (XYZ)-R (XYZ)-T (XYZ)-R vK-CAT CAT02 U*V*W* (XYZ)-TR DE00 (XYZ)-TR DE(U*V*W*) CIE-CRI=Σ(100-4.6DEi)/8 CRI (Lamp quality) CII (Sample quality) CII: SO 105-J05 (2007), Textiles-tests for colour fastness – Part J05: method for the instrumental assessment of the colour inconstancy of a specimen with a change in illuminant

  6. Colour inconstancy of Munsell samples Datasets No. C*(D65) CII CIE-CRI (Ra) 8 31 2.4 NIST 15 54 3.8 • Inter-obs. uncertainty in the data sets for developing CAT is about 3.0 DE00 units.

  7. Generating a dataset • The data sets used • Munsell (1562 paint samples) • Philips (215 samples) • PCCS (1063 cotton samples) • The lamps used: WLED, LEDON, ICD, CFL • Optimisation criteria: • Average CII about 3.0, • More samples (36 samples around hue scale), • Larger colour gamut (higher C* range), and • Smooth gamut boundary (DL* and DC* ≤10 for neighbouring samples).

  8. Datasets (4 lamps: WLED, LEDON, ICD, CFL) Datasets No. C*(D65) CII Maxi (WLED) CIE-CRI (Ra) 8 31 2.4 4.0 NIST 15 54 3.8 8.1 MCCC 24 34 2.4 7.9 New 36 47 3.1 6.4 • Observer variety in CA data set is about DE00 of 3.0.

  9. A new dataset • Low CRI • Large gamut • Smooth gamut • Colour shift • Gamut difference

  10. Trend of colour shifts LEDON ICD FL4 RGB LED

  11. CDT Demonstration Change of colour area (GAI)

  12. Similar gamuts from different datasets under WLED Philips Munsell PCCS No matter which data set is used, the samples found are quite similar for a fixed lamp.

  13. Luo et al’s Results • Six lamps were tested using 5 datasets: Ra(8), Ri(14), NIST(15), MCCC(24) and Boundary (684). • Similar CRIs’ performance regardless the datasets used.

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