unique_elements, counts_elements = np.unique(image2, return_counts=True)
cumulativeSumCounts = np.cumsum(counts_elements)
cumulativeSumCounts = cumulativeSumCounts/(np.size(image2))

for x,y in zip(unique_elements,cumulativeSumCounts):
    image2[image2 == x] = ((x - min(cumulativeSumCounts > 0)) * 255)/ (1 - min(cumulativeSumCounts ))
X,Y,uniqueE,countsE = Histogram(image2,iloscP)