About RGB Colourspace Models Performance

	A	B	C	D
1	About RGB Colourspace Models Performance
2	colour-science.org - October 8, December 4, 2014; January 10, 2015

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4	This spreadsheet is a companion document for the following IPython Notebook:
5	http://nbviewer.ipython.org/github/colour-science/colour-website/blob/master/ipython/about_colourspaces_colour_rendition_charts.ipynb
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7	Colour Checker	Link	Samples	Filters
8	Classic - N. Ohta	http://nbviewer.ipython.org/github/colour-science/colour-website/blob/760302005ff404cf903d84b45c7a89cd1c922d6b/ipython/about_colourspaces_colour_rendition_charts.ipynb	24	400 * 3, 1061 Unique
9	X-Rite SG	http://nbviewer.ipython.org/github/colour-science/colour-website/blob/master/ipython/about_colourspaces_colour_rendition_charts.ipynb	140	400 * 3, 1061 Unique
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11	See the ΔE page for details and charts about the below table.
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13	ΔE Rank	Classic - Random Filters	X-Rite SG - Random Filters
14	1	ACEScc	ACEScc
15	2	Rec. 2020	S-Gamut3
16	3	S-Gamut3	Rec. 2020
17	4	S-Gamut3.Cine	ALEXA Wide Gamut RGB
18	5	ALEXA Wide Gamut RGB	S-Gamut3.Cine
19	6	DCI-P3	DCI-P3
20	7	ACES2065-1	ACES2065-1
21	7	Rec. 709	Rec. 709
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