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Watermarking ascribes to insert pattern of bits into an image that conserves copyright information from unauthorized users. In this paper, Integer Wavelet Transform based image watermarking technique using Tent map and Local Binary Pattern has been proposed. Tent Map is used to generate chaotic key sequence to scramble two watermark images. Integer Wavelet Transform (IWT) is applied on the host image to define approximation coefficient (LL) band and to achieve higher level of robustness as perfect reconstruction is guaranteed by the composition of Lifting method. Local Binary Pattern (LBP) is used to generate binary matrix from LL band. Two watermarks are embedded simultaneously to the even and odd coefficients of 5×5 mask of host image. To check robustness, several attacks has been added to watermarked images; their normalized correlation (NC) and peak signal to noise ratio (PSNR) values are quite inspiring, that exhibits superiority of our scheme than some existing schemes.
Sumaya Rahman. 2018. \u201cInteger Wavelet Transform based Dual Watermarking Technique using Tent Map and Local Binary Pattern\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 18 (GJRE Volume 18 Issue F3): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 104
Country: Bangladesh
Subject: Global Journal of Research in Engineering - F: Electrical & Electronic
Authors: Sumaya Rahman, Chandan Saha, Md. Foisal Hossain, Tanjil Alam Tamal (PhD/Dr. count: 0)
View Count (all-time): 181
Total Views (Real + Logic): 3052
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Publish Date: 2018 07, Mon
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Watermarking ascribes to insert pattern of bits into an image that conserves copyright information from unauthorized users. In this paper, Integer Wavelet Transform based image watermarking technique using Tent map and Local Binary Pattern has been proposed. Tent Map is used to generate chaotic key sequence to scramble two watermark images. Integer Wavelet Transform (IWT) is applied on the host image to define approximation coefficient (LL) band and to achieve higher level of robustness as perfect reconstruction is guaranteed by the composition of Lifting method. Local Binary Pattern (LBP) is used to generate binary matrix from LL band. Two watermarks are embedded simultaneously to the even and odd coefficients of 5×5 mask of host image. To check robustness, several attacks has been added to watermarked images; their normalized correlation (NC) and peak signal to noise ratio (PSNR) values are quite inspiring, that exhibits superiority of our scheme than some existing schemes.
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