A region adaptive robust watermarking scheme based on homogeneity analysis
Joint Authors
Agarwal, Suneeta
Singh, Priyanka
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 5 (30 Sep. 2016), pp.1-6, 6 p.
Publisher
Publication Date
2016-09-30
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
To counter thesecurity breaches, came the need of watermarking which is one of the efficient methods to maintain the integrity of the digital content and prove the rightful ownership.
Region adaptive watermarking is the technique which is based on the content of the image which is required to be protected against the various possible attacks.
Homogeneity analysis of the image has been made using the quad tree based image segmentation method to chalk out the appropriate sites for embedding the secret information.
The information is itself extracted from the image in terms of a feature which is hidden using the Singular Value Decomposition (SVD) properties in the cover image.
The robustness of the proposed algorithm against the various attacks has been validated by attaining high Peak to Signal Noise Ratio (PSNR) and Normalized Cross Correlation (NCC) values in the experiments carried out.
American Psychological Association (APA)
Singh, Priyanka& Agarwal, Suneeta. 2016. A region adaptive robust watermarking scheme based on homogeneity analysis. The International Arab Journal of Information Technology،Vol. 13, no. 5, pp.1-6.
https://search.emarefa.net/detail/BIM-654765
Modern Language Association (MLA)
Singh, Priyanka& Agarwal, Suneeta. A region adaptive robust watermarking scheme based on homogeneity analysis. The International Arab Journal of Information Technology Vol. 13, no. 5 (Sep. 2016), pp.1-6.
https://search.emarefa.net/detail/BIM-654765
American Medical Association (AMA)
Singh, Priyanka& Agarwal, Suneeta. A region adaptive robust watermarking scheme based on homogeneity analysis. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 5, pp.1-6.
https://search.emarefa.net/detail/BIM-654765
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-654765