Why Standard RGB Normalization Creates Hidden Statistical Bias

In image processing, converting 8-bit integers to floating-point values is fundamental, yet the standard approach of dividing by 255 creates a statistical asymmetry: extreme values (0 and 255) appear only half as frequently when converting back from uniform random noise. This seemingly minor mathematical choice has real implications for algorithms that depend on equal probability distributions.