Change e in ISSM to 0.01. Add normalisation for ehs, add correct bins. #63
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I've found paper which mentions the mystery coeficient e. It's mentioned in Shnain, N.A., Hussain, Z.M., & Lu, S.F. (2017). A feature-based structural measure: An image similarity measure for face recognition [J].
(https://www.mdpi.com/2076-3417/7/8/786)
Its value is then equal to 0.01. I've also implemented changes for normalisation of the ehs and added argument for bins, since theoretically value space ranges from 0 to 255(without arg it defaults to 10, which gives skewed results).
Would be great if somebody could test it and verify this now works as intended. :]