AS1.0
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The AdvancedColor object essentially extends the built-in Color object by adding the ability to specify color for a movie clip in any of the RGB, HLS or HSV/B color spaces. It also provides static methods that allow direct conversion between color spaces.
Usage
new AdvancedColor(target)- The constructor for the AdvancedColor class. This works the same way as the Color object—the object is initialized with a movie clip as its target, and any getter and setter functions have their effect on that clip.
- Undocumented here are the methods of the built-in Color object:
setRGB(0xRRGGBB),getRGB(),setTransform(trans), andgetTransform()because they work in exactly the same way. setRGBComponent(red, green, blue)- Works similarly to the
setRGBmethod, but takes the color components as three separate arguments instead of as a single hex value. These are on a scale of 0 to 256, and you can pass in decimal (e.g., 204) or hex values (e.g., 0xCC). setHLSComponent(hue, luminosity, saturation)setHSVComponent(hue, saturation, value)- These both work as the method above, but take values specific to their own color spaces. The
hueparameter for both methods is specified in degrees on a scale from 0 to 360, while the others are percentages on a scale of 0 to 100. You can play with these values in the above example to get a sense of how they all relate. getRGBComponent()getHLSComponent()getHSVComponent()- Each of these functions returns an object containing the relevant values on the scales specified above. RGB values are labeled as
r,gandb; HLS ash,lands; HSV as, you guessed it,h,sandv. AdvancedColor.HLStoRGB(hue, lum, sat)AdvancedColor.RGBtoHLS(red, green, blue)AdvancedColor.HSVtoRGB(hue, sat, val)AdvancedColor.RGBtoHSV(red, green, blue)AdvancedColor.HLStoHSV(hue, lum, sat)AdvancedColor.HSVtoHLS(hue, sat, val)- These are static methods of the AdvancedColor class for doing transformations between color spaces when you aren't trying to apply that color to a movie clip. These take float values between 0 and 1 for all parameters except
hue, which is still on the 0 to 360 scale.
Background
Personally, I think RGB is a very weak model for thinking about color, simply because the results of combinations don't really reflect our perceptions in the real world. Red and green make yellow? Huh? Hue-based color spaces, on the other hand, are much more comfortable as they assign values to the properties that I, at least, use to describe color—a bright green, sort of a dusty dark pink, etc.
If you're interested in more background/technical information, you can check out some information on color spaces and transformations between them. That second link was the source for the algorithms in this library.
