I have several probability distribution histograms of images that I am comparing to test for dissimilarity. Each histogram has 256 bins, the bins are common for all histograms.
The images are taken in very low light conditions, using narrow bandpass filters and illuminated by the same light source (with any other light source excluded). Each image is to be compared to the 'dark noise' histograms to determine (if any) dissimilarities exist between the low light image and dark noise distributions.
What is an effective numerical method to determine for testing for dissimiliarity between image based probability histograms?