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I fit a model for a color chip to a data, which was obtained by a spectrophotometer. I found that the model is very simple and can be used to estimate spectral radiance factors. I applied it in estimating the spectral radiance factors of all the color chips. I also applied RAdj color space, sRGB and 98 color space that consists of sRGB and CMYK way and find that the RAdj color space is good for color printing, but sRGB can be the best choice for color imaging. I found that the gamut of eye is very limited and the pigments of the eyes can only capture a portion of the whole color space.
PCR color space is widely used in color imaging system. It is widely used even though there are always some drawbacks, because its independent parameters can be estimated independently. I derived the expansion coefficients of the PCR space so that it could be used as a color space of an image and I applied it as a color space of a camera and for color separation extraction from color image or colorspaces. I also derived the visual cone functions which show us what color the human can see in what gamut and applied them for color gamut and color space matching.
To measure the light in space is to measure the color we see. Although we can get the light of the world, we only get its color, in the process we may be able to to study the color of the world. It might be that the color of the world itself is different to the light in the world coming to the eye. I use some basic concepts to reflect on the color of the world, and I use some what same methods to trace a color image of the world. I define the color of the world as the color seen by eye and then use it to study the color of the world. I use some basic colorimetry to get the color of the world. I studied the color of the world, we got the color of the world by measuring the color of sky seen by eye, that is very simple and convenient.
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