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ImageHashes package

ImageHashes.jl is a Julia package for image hashing. It covers various techniques to simplify the task of finding exact and near duplicates in an image collection, among other applications.

Benchmark

The package provides basic benchmarks in benchmarks/benchmark.jl. One can run 

julia --project=. benchmarks/benchmark.jl

to get 

BENCHMARK RESULTS
time taken to compute a hash using difference_hash : 1.28e-6 seconds
Hashes per second: 781645
time taken to compute 100000000 hash distances: 0.531 seconds

There is an equivalent benchmark in Python using 

https://github.com/JohannesBuchner/imagehash

which produces 

BENCHMARK RESULTS
time taken to compute a hash using dhash: 0.004 seconds
Hashes per second: 250
time taken to compute 100000000 hash distances: 242.927 seconds

This Package is inspired by:

https://github.com/JohannesBuchner/imagehash

Good related material can be found in

  • https://github.com/JohannesBuchner/imagehash
  • https://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html
  • https://erdogant.github.io/undouble/pages/html/hash_functions.html
  • https://content-blockchain.org/research/testing-different-image-hash-functions/