Package dev.brachtendorf.jimagehash.hashAlgorithms

Hashing algorithms convert images to a hash representation enabling an approximate similarity measurement without storing much data.

Author:

Kilian

Class Summary

Class	Description
AverageColorHash	Calculate a hash value based on the average rgb color in an image.
AverageHash	Calculate a hash value based on the average luminosity in an image.
AverageKernelHash	Calculate a hash value based on the average luminosity in an image.
DifferenceHash	Calculates a hash based on gradient tracking.
DifferenceHash.DHash	An extended hash class allowing dhashes to be visually represented.
HashBuilder	Helper class to quickly create a bitwise byte array representation which can be converted to a big integer object.
HashingAlgorithm	Base class for hashing algorithms returning perceptual hashes for supplied images reducing the number of bits needed to represent said image.
MedianHash	Calculate a hash value based on the median luminosity in an image.
PerceptiveHash	Calculate a hash based on the frequency of an image using the DCT T2.
RotAverageHash	Calculate a hash value based on the average luminosity in an image after mapping each pixel to a rotational bucket.
RotPHash	A rotational invariant hashing algorithm which is mostly immune to rotation attacks.
WaveletHash	Calculate a hash based on iterative application of a haar wavelet on the luminosity values of the input image.

Enum Summary

Enum	Description
DifferenceHash.Precision	Algorithm precision used during calculation.