SRGB color space

Image values are assumed to be linear. If you process image data where the image is stored using the sRGB color space, you will need to linearize the data as described in Chapter 5. Similarly, the computed output image Outputlmage will also contain linear... 

Figure 4.6 sRGB color cube drawn in XYZ color space. 

Figure 5.3 sRGB cube visualized in L u v color space. 

L describes lightness and extends from 0 (black) to 100 (white). The a coordinate represents the redness-greenness of the sample. The b coordinate represents the yellowness-blueness. The coordinates a and b have a range of approximately [—100,100]. Notice the cube root in the above equation. The cube root was introduced in order to obtain a homogeneous, isotropic color solid (Glasser et al. 1958). Visual observations correspond closely to color differences calculated in this uniform coordinate system. A transformation of the sRGB color cube to the L a b color space is shown in Figure 5.5. 

Figure 5.5 sRGB cube visualized in L a b color space. 

Stokes M, Anderson M, Chandrasekar S and Motta R 1996 A Standard Default Color Space for the Internet - sRGB. Technical report, Version 1.10. 

To prepare an image for display or other interpretation, several steps are typically taken. First, the red, green, and blue camera responses (RGB) are mapped to a standard color space, the most common example being sRGB [3]. Displays with different primaries can be calibrated to provide accurate color under the assumption that the capture response closely approximates the sRGB standard. To transform device RGB to sRGB, a 3 x 3 color correction matrix is used as shown in the equation below. 

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