Revision as of 14:45, 9 June 2022 edit 2a02:908:1867:700:9dbd:4f6e:dbd0:8365 (talk) Adding empirical research results to the problem with perceptual hashes. ← Previous edit		Revision as of 21:06, 23 October 2022 edit undo MichielN (talk \| contribs) Extended confirmed users 1,960 edits Added first names to authors mentioned in the (fairly random) Development section; removed dead external links (phash.dev and blockhash.io) Next edit →
Line 5: The 1980 work of [[Marr–Hildreth algorithm\|Marr and Hildreth]] is a seminal paper in this field.<ref name=marr80>{{Cite journal \|title=Theory of Edge Detection \|first1=D. \|last1=Marr \|author1-link=David Marr (neuroscientist) \|first2=E. \|last2=Hildreth \|author2-link=Ellen Hildreth \|journal=Proceedings of the Royal Society of London. Series B, Biological Sciences \|volume=207 \|number=1167 \|date=29 Feb 1980 \|pages=187–217 \|doi=10.1098/rspb.1980.0020\|pmid=6102765 \|bibcode=1980RSPSB.207..187M \|s2cid=2150419 }}</ref> The July 2010 thesis of Christoph Zauner is a well-written introduction to the topic.<ref name="zauner10">{{cite book \|last1=Zauner \|first1=Christoph \|title=Implementation and Benchmarking of Perceptual Image Hash Functions \|date= July 2010 \|publisher=Upper Austria University of Applied Sciences, Hagenberg Campus \|url=https://www.phash.org/docs/pubs/thesis_zauner.pdf}}</ref> ~~Already in~~In June 2016 Azadeh Amir Asgari published work on robust image hash spoofing. Asgari notes that perceptual hash function like any other algorithm is prone to errors.<ref name="asgari16">{{cite book \|last1=Asgari \|first1=Azadeh Amir \|title=Robust image hash spoofing \|date=June 2016 \|publisher=Blekinge Institute of Technology \|url=http://www.diva-portal.se/smash/get/diva2:946365/FULLTEXT01.pdf}}</ref> Researchers remarked in December 2017 that [[Google image search]] is based on a perceptual hash.<ref name="agis">{{cite news \|title=Google Image Search Explained \|url=https://alibaba-cloud.medium.com/google-image-search-explained-30af8ba9cbea \|publisher=Medium \|date=26 December 2017}}</ref> Line 45: ==External links== * [~~http~~https://www.phash.org/ pHash - an open source perceptual hash library] * [~~http~~https://~~blockhash~~github.iocom/commonsmachinery/blockhash/ Blockhash.io - an open standard for perceptual hashes~~] [https://github.com/commonsmachinery/blockhash/ (GitHub)~~] * [~~http~~https://bertolami.com/index.php?engine=blog&content=posts&detail=perceptual-hashing Insight - a perceptual hash tutorial] * [https://phash.dev/ pHash Coding - Perceptual Hash Related Open Source Projects] [[Category:Hashing]]

Perceptual hashing: Difference between revisions