A Robust Watermarking Algorithm Based on Image Normalization

Sridevi, T.; Ramya, T; Ramadevi, Y.; Kumar, V. Vijaya

doi:10.1109/vcon.2010.21

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…The LSB method [7,10] (as most common), Kutter-Jordan-Bossen's method [10,11] (as one of the best in spatial domain), the modified method of Koch-Zhao [7,9] (one of the basic in the frequency domain), Benham's method (improve previous method) [1,10], some methods based on DWT [13][14][15], methods based on spread spectrum [16][17][18] were selected for research. The method of replacing the least significant bits (LSB − least significant bit) [7,10] is the most common among the methods, which change the spatial domain.…”

Section: Short Review Of the Related Steganographic Methodsmentioning

confidence: 99%

“…DWT is the multi-resolution description of an image, i.e., the decoding can be processed sequentially from a low resolution to the higher resolution [8,18]. The DWT splits the signal into high and low frequency parts.…”

Section: Dwt-based Methodsmentioning

confidence: 99%

“…Based on the analysis of advantages and disadvantages of different methods of embedding hidden information [7,13,18,20,21], a technique for hiding information was developed (Fig. 4).…”

Section: Proposed Methodsmentioning

confidence: 99%

“…For the methods, which were briefly described above, this paper provides a comparative analysis of the characteristics. Using the comparison method described in Part 2 and information presented in [7][8][9][10][11][12][13][14][15][16][17][18], the Table 5 was created. fdetection complexity.…”

Section: Usage Of Multiobjective Optimization To Choose Optimal Stegamentioning

confidence: 99%

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Synthesis of Optimal Steganographic Method Meeting Given Criteria

Vovk

2015

IAPGOS

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One of the steganography areas is digital watermarking. In this paper, the technique of comparative analysis of embedding information methods into an image was proposed. A comprehensive analysis of the most relevant steganographic methods of hiding information was made. Own method of embedding information in still images was synthesized. The possibility of studied methods to adapt to the real channels was evaluated for the first time. The robustness and security of steganographic systems based on the proposed method were also demonstrated.

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Section: Short Review Of the Related Steganographic Methodsmentioning

confidence: 99%

Section: Dwt-based Methodsmentioning

confidence: 99%

“…Based on the analysis of advantages and disadvantages of different methods of embedding hidden information [7,13,18,20,21], a technique for hiding information was developed (Fig. 4).…”

Section: Proposed Methodsmentioning

confidence: 99%

Section: Usage Of Multiobjective Optimization To Choose Optimal Stegamentioning

confidence: 99%

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Synthesis of Optimal Steganographic Method Meeting Given Criteria

Vovk

2015

IAPGOS

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“…A watermark is embedded in the high frequency band of SVD-DCT block. In [6], Blind Normalization Algorithm is used to achieve affine invariant wavelet transform. The normalized cover image is wavelet decomposed and block based DCT is applied to embed the watermark in DC coefficients.…”

mentioning

confidence: 99%

An Image Watermarking Scheme Resilient to Geometric Distortions

Vaishnavi

Subashini

2014

Lecture Notes in Electrical Engineering

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In this article, a robust watermarking scheme is proposed to lighten the problem of geometric distortion using Lifting Wavelet Transform (LWT). Initially, the host image is normalized to make it as invariant to affine distortion. Then LWT is applied and LD subband is divided into 8 × 8 non overlapping blocks. The first element of each block is retrieved to form a matrix to apply Singular Value Decomposition (SVD). The watermark is embedded in these singular values after applying Arnold scrambling to enhance the security of the watermark. Robustness of the proposed scheme are estimated using the metric Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM). The experimental results are compared and it exemplifies that the proposed method generates good robustness for geometric distortion.Keywords Image watermarking Á Robustness Á Scrambling Á Normalization IntroductionA digital image watermarking technique must be robust against the various kinds of attacks. The geometric attacks are not easy to deal with than the other kinds of attacks. It mostly initiates the synchronization errors between the encoder and decode and even if the watermark is present, the detector is not able to extract it. Rather, the content-preserving image processing operations (such as the addition of noises, common compression and filtering operations) do not initiate synchronization problems. A relative number of geometric invariant watermarking schemes has been proposed. In [1], normalized host image is jumbled using chaotic map and

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