A multi-channel combination method of image perceptual hashing

Hui Zhang, Haibin Zhang, Qiong Li, Xiamu Niu

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

1 Citation (Scopus)

Abstract

Traditionally, the proposed perceptual hashing algorithms are mainly focused on the feature extraction and coding stages. But they only concerned parts of perception information, and take a certain type of features to obtain codes, which makes them to be biased on resisting some varieties of attacks. On the other hand, HVS (Human Visual System) as one of best methods simulating the image cognitive processing of human vision system normally takes into account more than one perception factor. Based on the human nature of image cognitive processing and the conclusion of HVS, we suggest that image perceptual hashing should take the advantages of different perceptual feature channels and reserve the superiorities of each. In this paper, a multi-channel combination method is proposed and the performance under many general attacks is examined.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008
Pages87-90
Number of pages4
Volume2
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event4th International Conference on Networked Computing and Advanced Information Management, NCM 2008 - Gyeongju, Korea, Republic of
Duration: 2 Sep 20084 Sep 2008

Other

Other4th International Conference on Networked Computing and Advanced Information Management, NCM 2008
CountryKorea, Republic of
CityGyeongju
Period2/09/084/09/08

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