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Recent development of perceptual image hashing
  • ISSN号:1006-8961
  • 期刊名称:《中国图象图形学报》
  • 时间:0
  • 分类:TP393.08[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]School of Communication and Information Engineeringl Shanghai University, Shanghai 200072, P. R. China
  • 相关基金:supported by the National Natural Science Foundation of China(Grant No.60502039),the Shanghai Rising-Star Program(Grant No.06QA14022),and the Key project of Shanghai Municipality for Basic Research (Grant No.04JC14037)
中文摘要:

数字图象的容易的产生,存储,传播和繁殖引起了严肃的滥用和安全问题。正义的所有权,正直,和真实性的保证是学术界以及工业的一颗主要担心。在另一方面,图象的巨大的数量的有效搜索成为了大挑战。图象哈希是对在图象认证的使用合适的一种技术,内容基于图象检索(CBIR ) 。在这篇文章,我们考察技术在最近的年里建议了的一些代表性的图象哈希,与怎么满足感性的坚韧性和安全的冲突要求上的力量。跟随简短介绍到一些更早的方法,我们集中于典型二阶段的结构和一些几何失真的有弹性的技术。我们然后介绍途径在我们的自己的研究开发了的二图象哈希,并且在图象,对手的关键,或哈希函数的大数量的图象特征抽取,或可获得性的某些阶段由于秘密钥匙的缺席在一些存在方法揭示安全问题。更多的研究努力在开发真正柔韧、安全的图象哈希技术被需要。

英文摘要:

The easy generation, storage, transmission and reproduction of digital images have caused serious abuse and security problems. Assurance of the rightful ownership, integrity, and authenticity is a major concern to the academia as well as the industry. On the other hand, efficient search of the huge amount of images has become a great challenge. Image hashing is a technique suitable for use in image authentication and content based image retrieval (CBIR). In this article, we review some representative image hashing techniques proposed in the recent years, with emphases on how to meet the conflicting requirements of perceptual robustness and security. Following a brief introduction to some earlier methods, we focus on a typical two-stage structure and some geometric-distortion resilient techniques. We then introduce two image hashing approaches developed in our own research, and reveal security problems in some existing methods due to the absence of secret keys in certain stage of the image feature extraction, or availability of a large quantity of images, keys, or the hash function to the adversary. More research efforts are needed in developing truly robust and secure image hashing techniques.

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期刊信息
  • 《数码影像》
  • 主管单位:
  • 主办单位:中国图象图形学学会 中科院遥感所 北京应用物理与计算数学研究所
  • 主编:
  • 地址:北京市海淀区花园路6号
  • 邮编:100088
  • 邮箱:
  • 电话:010-86211360 62378784
  • 国际标准刊号:ISSN:1006-8961
  • 国内统一刊号:ISSN:11-3758/TB
  • 邮发代号:
  • 获奖情况:
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  • 被引量:0