Sub-images based image hashing with non-negative factorization

Prungsinchai, Supakorn, Khelifi, Fouad and Bouridane, Ahmed (2012) Sub-images based image hashing with non-negative factorization. In: 19th IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, Piscataway, NJ, pp. 781-784. ISBN 9781467312615

Full text not available from this repository. (Request a copy)
Official URL:


This paper proposes a robust and secure perceptual image hashing technique based on random sub-image selection, non-negative matrix factorization and DWT transform where the hashes are extracted in a binary form. The binary hash values are obtained with a perfect control over the probability distribution of hash bits. A key is used randomize the feature vector. Experimentally, the proposed technique has been shown to yield a good performance with respect to robustness against image processing operations including JPEG lossy compression, additive noise and geometric attacks such as rotation, translation and more secure of image hashing scheme.

Item Type: Book Section
Uncontrolled Keywords: image hashing, non-negative matrix factorization, robustness,security
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Becky Skoyles
Date Deposited: 20 Jan 2015 16:36
Last Modified: 12 Oct 2019 19:07

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics