Histogram-based image hashing scheme robust against geometric deformations

In this paper, we propose a robust image hash algorithm by using the invariance of the image histogram shape to geometric deformations. Robustness and uniqueness of the proposed hash function are investigated in detail by representing the histogram shape as the relative relations in the number of pixels among groups of two different bins. It is found from extensive testing that the histogram-based hash function has a satisfactory performance to various geometric deformations, and is also robust to most common signal processing operations thanks to the use of Gaussian kernel low-pass filter in the preprocessing phase.

[1]  Ramarathnam Venkatesan,et al.  New Iterative Geometric Methods for Robust Perceptual Image Hashing , 2001, Digital Rights Management Workshop.

[2]  Nasir D. Memon,et al.  Spatio–Temporal Transform Based Video Hashing , 2006, IEEE Transactions on Multimedia.

[3]  Chun-Shien Lu,et al.  Robust hash-based image watermarking with resistance to geometric distortions and watermark-estimation attack , 2005, IS&T/SPIE Electronic Imaging.

[4]  Ramarathnam Venkatesan,et al.  A tool for robust audio information hiding: A perceptual audio hashing algorithm , 2001 .

[5]  Thierry Pun,et al.  Second Generation Benchmarking and Application Oriented Evaluation , 2001, Information Hiding.

[6]  Min Wu,et al.  Robust and secure image hashing , 2006, IEEE Transactions on Information Forensics and Security.

[7]  Min Wu,et al.  Image hashing resilient to geometric and filtering operations , 2004, IEEE 6th Workshop on Multimedia Signal Processing, 2004..

[8]  Ralf Steinmetz,et al.  Content-based digital signature for motion pictures authentication and content-fragile watermarking , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[9]  Jiri Fridrich,et al.  Robust hash functions for digital watermarking , 2000, Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540).

[10]  Ramiro Jordan,et al.  Geometric attacks on image watermarking systems , 2005, IEEE MultiMedia.

[11]  Regunathan Radhakrishnan,et al.  Security of visual hash function , 2003, IS&T/SPIE Electronic Imaging.

[12]  Chun-Shien Lu,et al.  Geometric distortion-resilient image hashing scheme and its applications on copy detection and authentication , 2005, Multimedia Systems.

[13]  Ramarathnam Venkatesan,et al.  Robust image hashing , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[14]  Ramarathnam Venkatesan,et al.  A Perceptual Audio Hashing Algorithm: A Tool for Robust Audio Identification and Information Hiding , 2001, Information Hiding.

[15]  Nasir D. Memon,et al.  Perceptual Audio Hashing Functions , 2005, EURASIP J. Adv. Signal Process..

[16]  Xuebing Zhou,et al.  Histogram-Based Perceptual Hashing for Minimally Changing Video Sequences , 2006, 2006 Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'06).

[17]  Rui Yang,et al.  Time-Scale Invariant Audio Watermarking Based on the Statistical Features in Time Domain , 2006, Information Hiding.