A robust approach for digital watermarking of satellite imagery dataset
by Arshad Husain; Aditya Dev Mishra; Sisir Kumar Jena
International Journal of Swarm Intelligence (IJSI), Vol. 7, No. 1, 2022

Abstract: Digital watermarking is nowadays an active research area for protecting multimedia content such as authentication and copyright safeguard. The major challenges faced in most watermarking schemes are related to non-functional requirements such as security, reliability, and robustness against attack. In the present study, a singular value decomposition (SVD) and principal component-based image watermark embedding, and corresponding watermark extraction method have been proposed. The proposed watermarking embedding method also used the concept of particle swarm optimisation (PSO) to obtain an optimum value of the watermark-scaling factor. The proposed method is an assessment with a satellite image dataset [Resourcesat-2 with linear imaging and self scanning (LISS-III) sensor] of the Sangam Region, Prayagraj City, Uttar Pradesh, India (25°20'19.7"N, 81°58'43.8"E). Performance analysis parameter values such as peak signal-to-noise ratio (PSNR), mean square error (MSE), and normalised correlation (NC) are calculated to test the robustness and perceptibility of the proposed method. The experimental results show that the PSNR, MSE, and NC values are 44.6562, 2.2257, and 0.9650 respectively at the tested dataset. The proposed method performs robustly at various types of attacks and different wavelets.

Online publication date: Thu, 24-Feb-2022

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 Swarm Intelligence (IJSI):
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