Load image with outliers into MITK. E.g. the image located in the folder in the next comment. This image contains values between 1 and 100 + some outliers in the millions.
Naturally, one would like to see the histogram between 0 - 100 with bins of size 1. However. When selecting bin size 1, MITK crashes, probably due to memory restrictions.
Two options:

1. Create a sparse histogram, since where are only some outliers not every bin really needs to be created.
2. At least alert the user that he (or she) should remove the outliers before calculating the histogram.