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VOP's Gain and Bias explanation


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Hi,

could someone explain me the math behind and the benefits of the Bias and Gain VOPs over the classic add/mult/pow approach. These "functions" are present in the Color Correct VOP and recently they found their way to the Unified Noise VOP as well. Still I wasn't able to find any description of how they work and why should I prefer them over other value correction methods.

thanks in advance

Mate

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Guest mantragora

Check voplib.h that you can find in

\Houdini12.0.XXX\houdini\vex\include

directory. It contains all the code and math behind those functions.

Bias = vop_bias(float base, bias) {}

Gain = vop_gain(float base, gain) {}

Link:

Bias vs Gain

Edited by mantragora
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