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基于人类视觉系统的图像感知哈希算法
  • 期刊名称：电子学报.2008,36（12A）:30-34
  • 时间：0
  • 分类：TN911.73[电子电信—通信与信息系统;电子电信—信息与通信工程]
  • 作者机构：[1]哈尔滨工业大学深圳研究生院信息安全研究中心,广州深圳518055, [2]哈尔滨工业大学信息对抗研究所,黑龙江哈尔滨150001
  • 相关基金：国家自然科学基金（No.60832010,No.60671064,No.60703011）;国家863计划（No.2007AA01Z458）;高等学校博士学科专项科研基金（No.20070213047）
  • 相关项目：数字图像图形可逆信息伪装技术研究
关键词： 人类视觉系统(HVS), 感知哈希, 图像认证, 图像质量评价, human visual system（HVS） , perceptual hashing, image authentication, image quality assessment
中文摘要：

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.

英文摘要：

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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数字图像图形可逆信息伪装技术研究
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期刊论文 103 专利 18 著作 1
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期刊论文 21 会议论文 9
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