Implementation and Benchmarking of Perceptual Image Hash Functions

eBook (PDF), 108 Pages
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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.
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Product Details

First Edition
September 28, 2011
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File Size
1.23 MB

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Required Software Any PDF Reader, Apple Preview
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch... (See More)
# of Devices Unlimited
Flowing Text / Pages Pages
Printable? Yes
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