Image perceptual hashing based on human visual system

Hui Zhang*, Hai Bin Zhang, Qiong Li, Xia Mu Niu

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

As an emerging technology, Image Perceptual Hashing(IPH), is becoming a new hotspot and have broad potential applications. Through extracting the digest of perceptual information of an image and matching based on the digest, IPH supports the identification and authentication of images. Currently, the IPH algorithms in the literature are mainly focused on the image feature extraction, but they do not introduce sufficient perceptual factors. In this paper, several new IPH algorithms based on HVS are proposed. Experiments test and compare the proposed algorithms. The results suggest our methods take more perception information into account and have better performance on robustness and discriminability.

Original languageEnglish
Pages (from-to)30-34
Number of pages5
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume36
Issue numberSUPPL.
Publication statusPublished - Dec 2008

Keywords

  • Human visual system(HVS)
  • Image authentication
  • Image quality assessment
  • Perceptual hashing

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