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Blind Wavelet Based Watermarking Technique for Image Authentication
Blind Wavelet Based Watermarking Technique for Image Authentication
2010Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Sasthavu Sujatha, Mohamed Sathik, IAJIT
Dibuat : 2012-06-23, dengan 1 file
Keyword : Digital watermarking, discrete wavelet transform, toeplitz matrix, image authentication, content based watermarking
Subjek : Blind Wavelet Based Watermarking Technique for Image Authentication
Url : http://www.ccis2k.org/iajit/PDF/vol.10,no.3/4-3211.pdf
Sumber pengambilan dokumen : Internet
The central idea of this paper is to propose an innovative watermarking scheme which embeds watermark signal
into the host image in order to authenticate it. In this novel technique, some pixels are randomly selected from original image,
so that all of them have a valid 3x3 neighborhoods. A binary sequence is constructed from those pixels by comparing them
against average values of neighborhoods. The binary sequence is then converted into a watermark pattern in the form of a
Toeplitz matrix to improve security of watermarking process and is then embedded within the host image. The operation of
embedding and extraction of watermark is done in high frequency domain of Discrete Wavelet Transform since small
modifications in this domain are not perceived by human eyes. This watermarking scheme deals with the extraction of the
watermark information in the absence of original image, hence the blind scheme is obtained. The proposed algorithm is more
secure and robust against most of the common image processing attacks. Finally computer simulations demonstrate that the
proposed method is better than the recent algorithm proposed in [5] by Lin Q. et al. in terms of Peak Signal to Noise Ratio
The central idea of this paper is to propose an innovative watermarking scheme which embeds watermark signal
into the host image in order to authenticate it. In this novel technique, some pixels are randomly selected from original image,
so that all of them have a valid 3x3 neighborhoods. A binary sequence is constructed from those pixels by comparing them
against average values of neighborhoods. The binary sequence is then converted into a watermark pattern in the form of a
Toeplitz matrix to improve security of watermarking process and is then embedded within the host image. The operation of
embedding and extraction of watermark is done in high frequency domain of Discrete Wavelet Transform since small
modifications in this domain are not perceived by human eyes. This watermarking scheme deals with the extraction of the
watermark information in the absence of original image, hence the blind scheme is obtained. The proposed algorithm is more
secure and robust against most of the common image processing attacks. Finally computer simulations demonstrate that the
proposed method is better than the recent algorithm proposed in [5] by Lin Q. et al. in terms of Peak Signal to Noise Ratio
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