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https://www.sciencedirect.com/science/article/pii/S0164121210000701
A novel image watermarking method in multiwavelet domain based on support vector machines (SVMs) is proposed in this paper. The special frequency band and property of image in multiwavelet domain are employed for the watermarking algorithm.Cited by: 89
https://www.sciencedirect.com/science/article/pii/S0164121209003392
This paper presents a robust lossless watermarking technique, based on α-trimmed mean algorithm and support vector machine (SVM), for image authentication.SVM is trained to memorize relationship between the watermark and the image-dependent watermark other …Cited by: 70
https://www.hindawi.com/journals/mpe/2018/2685739/
Nevertheless, flaws of the scheme are the computation of pseudo-Zernike moments. Zheng et al. present a new scheme for blind watermarking embedding and detection by applying SVD and LS-SVM (least squares support vector machine) . In coding process, SVD is performed on coefficient blocks to obtain singular values after host image is transformed ...Cited by: 4
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.307.4473&rep=rep1&type=pdf
Support Vector Machine based Intelligent Watermark Decoding for Anticipated Attack Syed Fahad Tahir, Asifullah Khan, Abdul Majid, and Anwar M. Mirza Abstract—In this paper, we present an innovative scheme of blindly extracting message bits from an image distorted by an attack. Support Vector Machine (SVM) is used to nonlinearly classify the
https://www.researchgate.net/publication/220376255_A_novel_image_watermarking_scheme_based_on_support_vector_regression
In this paper, a novel fuzzy support vector machine based image watermarking scheme is proposed.Since the application of support vector machine in the process of …
http://dspace.lib.fcu.edu.tw/bitstream/2377/370/1/IS_0022003157.pdf
The purpose of using a support vector machine is to obtain anoptimal hyperplaneH for which the margin between H 1 and H 2 is maximized.The margin between H 1 and H 2 can be expressed by w w w 1 1 2 r = + =. (4) This problem for solving out the optimal hyperplane can be substituted by using the Lagrange method as follows. i Minimize the cost ...
https://ijcsit.com/docs/Volume%202/vol2issue5/ijcsit2011020581.pdf
logistic digital watermarking scheme, which collected based on Support Vector Machine (SVM) for color image. The watermark is embedded into the discrete wavelet domain of the original image and extracted by training support vector machine, which have the component of the image. For performance enhancement of support vector machine, we
https://www.researchgate.net/publication/224326019_Multiwavelet-based_Digital_Watermarking_with_Support_Vector_Machine_Technique
A new image watermarking technique based on support vector regression (SVR) is proposed in this paper. It uses support vector machine (SVM) to embed the watermark and gains satisfying results.
https://www.hindawi.com/journals/mpe/2015/931672/
With the development of information security, the traditional encryption algorithm for image has been far from ensuring the security of image in the transmission. This paper presents a new image watermarking scheme based on Arnold Transform (AT) and Fuzzy Smooth Support Vector Machine (FSSVM). First of all, improved AT (IAT) is obtained by adding variables and expanding transformation space ...Cited by: 3
https://pdfs.semanticscholar.org/347b/a889e9c4760a59088012059de6fad2140c8a.pdf
In DWT-based watermarking, the DWT coefficients are modified to embed the watermark data. B. Support Vector Machines (SVMs) The support vector machine (SVM) is a general classification algorithm or a machine learning tool for performing classification and detection tasks. From the statistical learning theory, one can consider the
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