A Digital Robust Image Watermarking Against Desynchronization Attacks

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Date

2010

Journal Title

Journal ISSN

Volume Title

Publisher

Academic Journals

Access Rights

info:eu-repo/semantics/closedAccess

Abstract

In this paper, a robust image watermarking technique using support vector regression (SVR) and particle swarm optimization is introduced to protect intellectual property rights of the gray images in discrete cosine transform domain against a variety of desynchronization attacks. After the division of the original image to 8 x 8 non-overlapping blocks, frequency coefficients of each block are found using discrete cosine transform. Positions of the inputs and output, among the low frequency coefficients which have the significant characteristics of the image, which are used to train SVR are obtained by using particle swarm optimization technique. After SVR is trained using the obtained positions of the inputs and output, watermark embedding and extracting processes are implemented using the trained SVR. Experiments implemented using the optimized coefficients selected among low frequency coefficients show that our watermarking technique has better watermark extracting success after the desynchronization attacks.

Description

Keywords

Robust image watermarking, Support vector regression, Particle swarm optimization

Journal or Series

Scientific Research and Essays

WoS Q Value

Q3

Scopus Q Value

N/A

Volume

5

Issue

16

Citation

Fındık, O., Babaoğlu, İ., Ülker, E., (2010). A Digital Robust Image Watermarking Against Desynchronization Attacks. Scientific Research and Essays, 5(16), 288-2294.