DocumentCode :
1736244
Title :
SVD based image watermarking with firefly algorithm
Author :
Durga, K. Vijaya ; Mamatha, G. ; Bindu, C. Hima
Author_Institution :
Dept. of E.C.E, J.N.T.U.A Coll. of Eng., Anantapur, India
fYear :
2015
Firstpage :
1
Lastpage :
7
Abstract :
This paper presents an image watermarking scheme based on the singular value decomposition (SVD) on non-overlapping blocks of both the host image and the watermark image. The singular values of each non-overlapped block of binary watermark are embedded into the singular values of corresponding non-overlapped block of the host image using the Multiple Scaling Factors (MSFs) of firefly algorithm. Finally, the objective function is to be computed to know the best scaling factor for embedding. In addition to this, various types of attacks (like compression, gaussian filtering, sharpening, scaling and cropping etc..) are applied on embedded image to show the robustness of the proposed watermarking scheme. The proposed watermarking scheme gives better optimization, less computations, robustness and good at visual quality. For this, the Structure Similarity Index measure (SSIM) is used to indicate the measure of imperceptibility and robustness of watermarking scheme.
Keywords :
image coding; image watermarking; singular value decomposition; Gaussian filtering; MSF; SSIM; SVD based image watermarking scheme; binary watermark; firefly algorithm; multiple scaling factors; nonoverlapping blocks; singular value decomposition; structure similarity index measure; visual quality; watermarking scheme imperceptibility; watermarking scheme robustness; Linear programming; Matrix decomposition; Robustness; Silicon; Singular value decomposition; Transforms; Watermarking; Firefly Algorithm (FA); Image watermarking; Multiple Scaling Factors (MSFs); Structure Similarity Index measure (SSIM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6804-6
Type :
conf
DOI :
10.1109/ICCCI.2015.7218081
Filename :
7218081
Link To Document :
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