Local normalization using smoothing operators
The local normalization of f(x,y) is computed as follows:
where:
 f(x,y) is the original image
 m_{f}(x,y) is an estimation of a local mean of f(x,y)
 s_{f}(x,y) is an estimation of the local standard deviation
 g(x,y) is the output image
The estimation of the local mean and standard deviation is performed through spatial smoothing.
Diagram block
The parameters of the algorithm are the sizes of the smoothing windows, s_{1}, and, s_{2}, which control the estimation of the local mean and local variance, respectively.
