基于人类视觉系统的图像感知哈希算法

Image Perceptual Hashing Based on Human Visual System

图像感知哈希(Perceptual Hashing)是一门新兴技术,它通过对图像感知信息的简短摘要和基于摘要的匹配,来支持图像的认证和识别,具有广泛的应用前景.目前关于图像感知哈希的研究主要集中在图像特征的提取上,但是特征的选择缺乏对人眼视觉特性的考虑.本文从不同的侧面提出几种基于人类视觉系统的图像感知哈希算法.通过这几种算法之间和已有传统算法之间的测试比较,结果表明考虑了人眼视觉特性的图像感知哈希算法在鲁棒性和区分性上能够得到提高,算法给出的感知距离度量更符合人的主观感受.

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.