Image perceptual hashing based on human visual system

被引：0
|
作者：
Zhang, Hui [1 ]
Zhang, Hai-Bin [1 ]
Li, Qiong [2 ]
Niu, Xia-Mu [2 ]
机构：
[1] Information Security Technology Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China
[2] Information Countermeasure Technology Institute, Harbin Institute of Technology, Harbin 150001, China
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2008年 / 36卷 / SUPPL.期
关键词：
Image processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：30 / 34
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