Implementation and Benchmarking of Perceptual Image Hash FunctionsThis thesis proposes a novel benchmarking framework, called Rihamark, for perceptual image hash functions. Subsequently, four different perceptual image hash functions were benchmarked: A discrete Cosine transform based, a Marr Hildreth operator based, a radial variance based and a block mean value based image hash function. pHash, an open source implementation of various perceptual hash functions, was used to benchmark the first three functions. The
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Implementation and Benchmarking of Perceptual Image Hash Functions