Predigest Watson's visual model as perceptual hashing method

Hui Zhang, Haibin Zhang, Qiong Li, Xiamu Niu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

6 Citations (Scopus)

Abstract

HVS (human visual system) has been widely used to evaluate image quality over the past three decades, which provided a good simulation on the image cognitive processing of human vision system. As a newly developing technology, perceptual hashing need to take the perception information into account during the feature extraction stage, and then code them into a short digest. In this paper, we present a new image perceptual hashing method by predigesting the well-known Watson's visual model. By comparing with the Watson's visual model and other perceptual hashing method, our new method takes sufficient perception information into account and has better performance of robustness and discriminability.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Pages617-620
Number of pages4
Volume2
DOIs
Publication statusPublished - 2008
Event3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008 - Busan, Korea, Republic of
Duration: 11 Nov 200813 Nov 2008

Other

Other3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
CountryKorea, Republic of
CityBusan
Period11/11/0813/11/08

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