A novel slant transform-based image feature extract algorithm
by Jinglong Zuo; Delong Cui; Qirui Li
International Journal of Embedded Systems (IJES), Vol. 9, No. 3, 2017

Abstract: In order to improve the efficiency and simplify the steps of generating an image hashing, a secure and robust image hashing algorithm based on slant transform is proposed in this paper. By employing the coefficients of slant transform, a robust hashing sequence is obtained by preprocessing, feature extracting and post processing. The security of the proposed algorithm is totally dependent on the user-keys, which are saved as secret keys. Several benchmark images are utilised to show the feasibility of the image hashing algorithm. Experimental results show that the proposed scheme is robust against perceptually acceptable modifications to the image such as JPEG compression, mid-filtering, and rotation. Therefore, the scheme proposed in this paper is suitable for image authentication, content-based image retrieval and digital watermarking, etc.

Online publication date: Wed, 21-Jun-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Embedded Systems (IJES):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com