Dear all,
The description of the AdaptiveHistogramEqualizationImageFilter is not entirely correct in my (humble) opinion. From the description it seems that the filter, depending on the parameter alpha, ranges from standard histogram equalization (alpha = 0) to unsharp masking (alpha = 1). However, from the paper and the implementation, the parameter alpha is used to steer between standard histogram equalization and local mean subtraction. The rationale for this connection is due to the fact that local mean subtraction is an approximation for histogram equalization with a strongly gaussian smoothed histogram. The parameter beta controls the level of local mean addition. Kind regards, Johannes Keustermans
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