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Optimized gray-scale image watermarking using DWT-SVD and Firefly Algorithm

delete2014-12-01
delete218
PRE
AI
A
Anurag Mishra
C
Charu Agarwal *
A
Arpita Sharma
P
Punam Bedi
DOI:10.1016/j.eswa.2014.06.011delete
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摘要

摘要

En 中文
This paper presents an optimized watermarking scheme based on the discrete wavelet transform (DWT) and singular value decomposition (SVD). The singular values of a binary watermark are embedded in singular values of the LL3 sub-band coefficients of the host image by making use of multiple scaling factors (MSFs). The MSFs are optimized using a newly proposed Firefly Algorithm having an objective function which is a linear combination of imperceptibility and robustness. The PSNR values indicate that the visual quality of the signed and attacked images is good. The embedding algorithm is robust against common image processing operations. It is concluded that the embedding and extraction of the proposed algorithm is well optimized, robust and show an improvement over other similar reported methods. (C) 2014 Elsevier Ltd. All rights reserved.
Keyword:
Image watermarking
Firefly Algorithm
Perceptible quality
Normalized cross-correlation
Robustness
Multiple scaling factors (MSFs)
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期刊

Expert Systems with Applications 封面图
Expert Systems with Applications
IF:
7.5
论文数:
2.9W
被引数:
10.2W

机构

U
university of delhi
学者数:
1.2W
论文数: 9.6K
被引数: 3
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