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Robust Digital Image Watermarking by Selecting the Optimal Feature Region Set

Author(s):

M.Kavya , Unnamalai Institute of Technology; P.Lakshmi Priya, Unnamalai Institute of Technology; S.Jothi Priya, Unnamalai Institute of Technology; M.L.R.P.Abirami, Unnamalai Institute of Technology

Keywords:

Robust Digital Image Watermarking, Feature Detector, Genetic Algorithm, Multidimensional Knapsack Problem (MDKP), Copyright Protection

Abstract

In this paper, a feature-based robust digitalimage watermarking algorithm is proposed to achieve the goal of image authentication and protection simultaneously. The Harris–Laplacian feature detector is at first adopted to extract characteristic regions of an image in the proposed watermark embedding scheme. Then the copyright watermark is embedded into these characteristic regions according to the local orientation of each pixel. The proposed watermark detection scheme to extract the copyright watermark and the authentic information independently and blindly from watermarked images. Various attacks are also applied to the watermarked images in order to examine the robustness of our algorithm. It can resist geometric attacks and noise like signal processing attacks. This method can be integrated into the feature-based watermarking schemes to enhance their robustness.

Other Details

Paper ID: IJSRDV3I2485
Published in: Volume : 3, Issue : 2
Publication Date: 01/05/2015
Page(s): 468-471

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