{-# LANGUAGE FlexibleContexts #-} module PerceptualHash ( imgHash , fileHash ) where import Control.Applicative (pure) import Control.Monad.ST (runST) import Data.Bits (shiftL, (.|.)) import qualified Data.Vector.Unboxed as V import Data.Word (Word64) import Graphics.Image (Array, Bilinear (..), Border (Edge), Image, Pixel (PixelX, PixelY), VU (..), X, Y, convolve, crop, makeImage, readImageY, resize, transpose, (|*|)) import Graphics.Image.Interface (toVector) import Median (median) dct32 :: (Floating e, Array arr Y e) => Image arr Y e dct32 = makeImage (32,32) gen where gen (i,j) = PixelY $ sqrt(2/n) * cos((fromIntegral ((2*i+1) * j) * pi)/(2*n)) n = 32 idMat :: (Fractional e, Array arr X e) => Image arr X e idMat = makeImage (7,7) (\_ -> PixelX (1/49)) meanFilter :: (Fractional e, Array arr X e, Array arr cs e) => Image arr cs e -> Image arr cs e meanFilter = convolve Edge idMat {-# SCC meanFilter #-} size32 :: Array arr cs e => Image arr cs e -> Image arr cs e size32 = resize Bilinear Edge (32,32) crop8 :: Array arr cs e => Image arr cs e -> Image arr cs e crop8 = crop (0,0) (8,8) medianImmut :: (Ord e, V.Unbox e, Fractional e) => V.Vector e -> e medianImmut v = runST $ median =<< V.thaw v {-# SCC medianImmut #-} dct :: (Floating e, Array arr Y e) => Image arr Y e -> Image arr Y e dct img = dct32 |*| img |*| transpose dct32 {-# SCC dct #-} imgHash :: Image VU Y Double -> Word64 imgHash = asWord64 . aboveMed . V.map (\(PixelY x) -> x) . toVector . crop8 . dct . size32 . meanFilter where asWord64 :: V.Vector Bool -> Word64 asWord64 = V.foldl' (\acc x -> (acc `shiftL` 1) .|. boolToWord64 x) 0 where boolToWord64 :: Bool -> Word64 boolToWord64 False = 0 boolToWord64 True = 1 aboveMed v = let med = medianImmut v in V.map ( IO Word64 fileHash = fmap imgHash . readImageY VU