Actually, you can consider RGB values to be (triplets of) floats, too.
Typically, one pixel takes up up to 32 bits of space, encoding Red, Green, Blue, and sometimes Alpha (opacity) values. That makes approximately 8 bits per color channel.
Since each color can be a value between 0.0 (color is off) and 1.0 (color is on), that means every color channel is effectively a 8-bit float.
Pretty sure what you’re describing isn’t floating-point numbers, but fixed-point numbers… Which would also work just as well or better in most cases where floats are used.
Has anyone ever come across 8 or 16 bit floats? What were they used for?
Neural net evaluation mainly, but FP16 is used in graphics too.
I found this: https://en.wikipedia.org/wiki/Minifloat
Actually, you can consider RGB values to be (triplets of) floats, too.
Typically, one pixel takes up up to 32 bits of space, encoding Red, Green, Blue, and sometimes Alpha (opacity) values. That makes approximately 8 bits per color channel.
Since each color can be a value between 0.0 (color is off) and 1.0 (color is on), that means every color channel is effectively a 8-bit float.
Pretty sure what you’re describing isn’t floating-point numbers, but fixed-point numbers… Which would also work just as well or better in most cases where floats are used.
Aren’t they fractions rather than floating point decimals?