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2. Color normalization - Wikipedia

   en.wikipedia.org/wiki/Color_normalization

   The grey world normalization makes the assumption that changes in the lighting spectrum can be modelled by three constant factors applied to the red, green and blue channels of color. [6] More specifically, a change in illuminated color can be modelled as a scaling α, β and γ in the R, G and B color channels and as such the grey world ...

3. Comparison of raster-to-vector conversion software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_raster-to...

   Download as PDF; Printable version; In other projects ... (version 0.5.0) Free MIT: ... Color management for print

4. Color balance - Wikipedia

   en.wikipedia.org/wiki/Color_balance

   The left half shows the photo as it came from the digital camera. The right half shows the photo adjusted to make a gray surface neutral in the same light. In photography and image processing, color balance is the global adjustment of the intensities of the colors (typically red, green, and blue primary colors). An important goal of this ...

5. Normalization (image processing) - Wikipedia

   en.wikipedia.org/wiki/Normalization_(image...

   max is the maximum value for color level in the input image within the selected kernel. min is the minimum value for color level in the input image within the selected kernel. [4] Local contrast stretching considers each range of color palate in the image (R, G, and B) separately, providing a set of minimum and maximum values for each color palate.

6. Grayscale - Wikipedia

   en.wikipedia.org/wiki/Grayscale

   Here is an example of color channel splitting of a full RGB color image. The column at left shows the isolated color channels in natural colors, while at right there are their grayscale equivalences: Composition of RGB from three grayscale images. The reverse is also possible: to build a full-color image from their separate grayscale channels.

7. Channel (digital image) - Wikipedia

   en.wikipedia.org/wiki/Channel_(digital_image)

   Color digital images are made of pixels, and pixels are made of combinations of primary colors represented by a series of code. A channel in this context is the grayscale image of the same size as a color image, [citation needed] made of just one of these primary colors.