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Implementation and Benchmarking of Perceptual Image Hash Functions

ByChristoph Zauner

This 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 latter, the block mean value based image hash function was implemented by the author of this thesis himself.

Details

Publication Date
Sep 28, 2011
Language
English
Category
Computers & Technology
Copyright
All Rights Reserved - Standard Copyright License
Contributors
By (author): Christoph Zauner

Specifications

Format
PDF

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