Hi all! I'm pleased to announce the first release of blockhash, a perceptual image hash calculation tool based on algorithm described in Block Mean Value Based Image Perceptual Hashing by Bian Yang, Fan Gu and Xiamu Niu.
https://hackage.haskell.org/package/blockhash https://github.com/kseo/blockhash Program: Usage: blockhash [-q|--quick] [-b|--bits ARG] filenames blockhash Available options: -h,--help Show this help text -q,--quick Use quick hashing method -b,--bits ARG Create hash of size N^2 bits. Library: import qualified Codec.Picture as P import Data.Blockhash import qualified Data.Vector.Generic as VG import qualified Data.Vector.Unboxed as V printHash :: FilePath -> IO () printHash :: filename = do res <- P.readImage filename case res of Left err -> putStrLn ("Fail to read: " ++ filename) Right dynamicImage -> do let rgbaImage = P.convertRGBA8 dynamicImage pixels = VG.convert (P.imageData rgbaImage) image = Image { imagePixels = pixels , imageWidth = P.imageWidth rgbaImage , imageHeight = P.imageHeight rgbaImage } hash = blockhash image 16 Precise putStrLn (show hash) For further information on the blockhash algorithm, please visit the web site: http://blockhash.io/ Thanks, Kwang Yul Seo
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