A clean novel watermarking technique using chaotic logistic map and multiple embedding

Anwar Hussain

doi:10.1117/12.2524356

6 May 2019 A clean novel watermarking technique using chaotic logistic map and multiple embedding

Anwar Hussain

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 1106920 (2019) https://doi.org/10.1117/12.2524356
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

Watermarking is widely used for copyright protection and authentic use of patented objects. Digital objects such as multimedia images, videos and data are watermarked with originator logo or the personal information of the purchaser or the both to issue authentic right to use such objects. The watermark embedded in the object changes the object quality to various amount depending on the technique used. We propose a watermarking technique in which the object remains unchanged, and hence called clean. The watermark is embedded multiple times in different pixel sequences of the object. The pixel sequences are generated using chaotic logistic maps. Multiple secret information sequences are derived after multiple embedding, which may be utilized against adversarial attacks for claiming rights or unauthorized usages.

Citation Download Citation

Anwar Hussain "A clean novel watermarking technique using chaotic logistic map and multiple embedding", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106920 (6 May 2019); https://doi.org/10.1117/12.2524356

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available