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Content-based image hashing using wave atoms

Chinese Physics B 2012年第4期21卷 38-48页

作者：刘芳梁瀚贤郑利明季晓勇 Department of Electronic Engineering City University of Hong Kong Hong Kong SAR China School of Electronic Science and Engineering Nanjing University Nanjing 210093 China

It is well known that robustness, fragility, and security are three important criteria of image hashing; however how to build a system that can strongly meet these three criteria is still a challenge. In this paper, a content-based image hashing scheme using wave atoms is proposed, which satisfies the above criteria. Compared with traditional transforms like wavelet transform and discrete cosine transform （DCT）, wave atom transform is adopted for the sparser expansion and better characteristics of texture feature extraction which shows better performance in both robustness and fragility. In addition, multi-frequency detection is presented to provide an application-defined trade-off. To ensure the security of the proposed approach and its resistance to a chosen-plaintext attack, a randomized pixel modulation based on the Rdnyi chaotic map is employed, combining with the nonliner wave atom transform. The experimental results reveal that the proposed scheme is robust against content-preserving manipulations and has a good discriminative capability to malicions tampering.

关键词： image hashing authentication wave atom transform chaotic system

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Robust image hashing via Random Gabor Filtering and DWT

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Computers, Materials & Continua 2018年第5期55卷 331-344页

作者： Zhenjun Tang Man Ling Heng Yao Zhenxing Qian Xianquan Zhang Jilian Zhang Shijie Xu Guangxi Key Lab of Multi-Source Information Mining&Security Guangxi Normal UniversityGuilin541004China Shanghai Institute of Intelligent Electronics&Systems School of Computer ScienceFudan UniversityShanghai200433China School of Information Systems Singapore Management University178902Singapore

image hashing is a useful multimedia technology for many applications,such as image authentication,image retrieval,image copy detection and image *** this paper,we propose a robust image hashing based on random Gabor filtering and discrete wavelet transform(DWT).Specifically,robust and secure image features are first extracted from the normalized image by Gabor filtering and a chaotic map called Skew tent map,and then are compressed via a single-level 2-D *** hash is finally obtained by concatenating DWT coefficients in the LL *** experiments with open image datasets are carried out and the results illustrate that our hashing is robust,discriminative and *** operating characteristic(ROC)curve comparisons show that our hashing is better than some popular image hashing algorithms in classification performance between robustness and discrimination.

关键词： image hashing Gabor filtering chaotic map skew tent map discrete wavelet transform.

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Recent development of perceptual image hashing

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Journal of Shanghai University(English Edition) 2007年第4期11卷 323-331页

作者：王朔中张新鹏 School of Communication and Information Engineeringl Shanghai University Shanghai 200072 P. R. China

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.

关键词： image hashing perceptual robustness security image authentication.

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image block feature vectors based on a singular-value information metric and color-texture description

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Journal of Shanghai University(English Edition) 2007年第3期11卷 205-209页

作者：王朔中路兴苏胜君张新鹏 School of Communication and Information Engineering Shanghai University Shanghai 200072 P. R. China

In this work, image feature vectors are formed for blocks containing sufficient information, which are selected using a singular-value criterion. When the ratio between the first two SVs axe below a given threshold, the block is considered informative. A total of 12 features including statistics of brightness, color components and texture measures are used to form intermediate vectors. Principal component analysis is then performed to reduce the dimension to 6 to give the final feature vectors. Relevance of the constructed feature vectors is demonstrated by experiments in which k-means clustering is used to group the vectors hence the blocks. Blocks falling into the same group show similar visual appearances.

关键词： image feature color texture content-based image retrieval (CBIR) image hashing

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