Robust Image Watermarking Theories and Techniques: A Review

Jasni, Mohamad Zain and Tao, Hai and Chongmin, Li and Abdalla, Ahmed N. (2014) Robust Image Watermarking Theories and Techniques: A Review. Journal of Applied Research and Technology, 12 (1). pp. 122-138. ISSN 665-6423. (Published)

[img] PDF (fskkp-2014-jasni-robustImageWatermarking)
robust_12.pdf - Published Version
Restricted to Repository staff only

Download (563kB) | Request a copy

Abstract

Over the past several decades, digital information science has emerged to seek answers to the question: can any technique ensure tamper-resistance and protect the copyright of digital contents by storing, transmitting and processing information encoded in systems where digital content can easily be disseminated through communication channels? Today it is understood that the answer is yes. This paper reviews the theoretical analysis and performance investigation of representative watermarking systems in transform domains and geometric invariant regions. Digital watermarking is a technology of embedding watermark with intellectual property rights into images, videos, audios, and other multimedia data by a certain algorithm. The basic characteristics of digital watermark are imperceptibility, capacity, robustness and false positive of watermarking algorithm and security of the hiding place. Moreover, it is concluded that various attacks operators are used for the assessment of watermarking systems, which supplies an automated and fair analysis of substantial watermarking methods for chosen application areas.

Item Type: Article
Additional Information: Profesor Madya Dr. Ahmed N Abd Alla (A. N. Abdalla)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Users 134 not found.
Date Deposited: 04 Aug 2014 08:14
Last Modified: 03 Oct 2018 07:25
URI: http://umpir.ump.edu.my/id/eprint/6173
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item