Advancement on Damage-Less Watermark Extraction Using Non-Linear Feature Extraction Scheme Trained on Frequency Domain

View Sample PDF

Author(s): Kensuke Naoe (Keio University, Japan)and Yoshiyasu Takefuji (Keio University, Japan)
Copyright: 2013
Pages: 25
Source title: Digital Rights Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-2136-7.ch020

Keywords: Information Ethics / Information Science Reference / Knowledge Management / Security & Forensics

Purchase

View Advancement on Damage-Less Watermark Extraction Using Non-Linear Feature Extraction Scheme Trained on Frequency Domain on the publisher's website for pricing and purchasing information.

Abstract

The proposed method contributes to secure image digital watermarking for content identification without damaging or losing any detailed data of visual images. The features of our proposed method employ an application to authenticate multimedia, similarity comparison, verification of image integrity and copyright protection of multimedia contents.

The IRMA Community

Research IRM

Advancement on Damage-Less Watermark Extraction Using Non-Linear Feature Extraction Scheme Trained on Frequency Domain

Purchase

Abstract

Related Content

IRMA Sponsors