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

Zarqa University

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