Global Distribution Adjustment and Nonlinear Feature Transformation for Automatic Colorization

Figure 2

Data distribution example with nonlinear logarithm transformations (a). By applying this transformation, data distribution is expected to be more bell-shaped (“more Gaussian”) (b) that successfully modifies the distribution of pixels and supports the accuracy of the classifier proposed in ‎[8].

(a)

(b)