Robust image-adaptive watermarking using an adjustable dynamic strength factor

Yadav, Navneet; Singh, Kulbir

doi:10.1007/s11760-013-0607-2

Cited by 25 publications

(29 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be seen from Tables 1-3 that the proposed watermarking algorithm is satisfactory. Furthermore, to evaluate the robustness of the proposed watermarking method in comparison to other approaches, we compared our watermarking algorithm with two methods proposed in [17,20]. The results have been presented with average values obtained from a set of images, which includes the Barbara, Lena, Bridge and Crowd images.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

“…Similar to the method in [17], the computational efficiency of the watermarking method is low in [18]. Yadav et al [20] proposed a multiplicative watermarking method based on the dynamic watermark strength factor. The adaptability of the watermark strength factor was mainly due to the use of the variance information of the image.…”

Section: Introductionmentioning

confidence: 99%

“…The adaptability of the watermark strength factor was mainly due to the use of the variance information of the image. In addition, the method in [20] has high computational efficiency, but it does not consider the texture masking effect and saliency model of the image.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Visual Saliency Model-Based Image Watermarking with Laplacian Distribution

Liu

Zhao

2018

Information

View full text Add to dashboard Cite

To improve the invisibility and robustness of the multiplicative watermarking algorithm, an adaptive image watermarking algorithm is proposed based on the visual saliency model and Laplacian distribution in the wavelet domain. The algorithm designs an adaptive multiplicative watermark strength factor by utilizing the energy aggregation of the high-frequency wavelet sub-band, texture masking and visual saliency characteristics. Then, the image blocks with high-energy are selected as the watermark embedding space to implement the imperceptibility of the watermark. In terms of watermark detection, the Laplacian distribution model is used to model the wavelet coefficients, and a blind watermark detection approach is exploited based on the maximum likelihood scheme. Finally, this paper performs the simulation analysis and comparison of the performance of the proposed algorithm. Experimental results show that the proposed algorithm is robust against additive white Gaussian noise, JPEG compression, median filtering, scaling, rotation attack and other attacks.

show abstract

Section: Experimental Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Visual Saliency Model-Based Image Watermarking with Laplacian Distribution

Liu

Zhao

2018

Information

View full text Add to dashboard Cite

show abstract

“…Here a new performance metric Weighted Normalized Correlation was presented. Yadav and Singh [22] proposed a method to embed watermark element into a 2D DWT high entropy block.…”

Section: Related Workmentioning

confidence: 99%

Comparison of DCT, SVD and BFOA based multimodal biometric watermarking systems

Nair

Aruna

2015

Alexandria Engineering Journal

View full text Add to dashboard Cite

Digital image watermarking is a major domain for hiding the biometric information, in which the watermark data are made to be concealed inside a host image imposing imperceptible change in the picture. Due to the advance in digital image watermarking, the majority of research aims to make a reliable improvement in robustness to prevent the attack. The reversible invisible watermarking scheme is used for fingerprint and iris multimodal biometric system. A novel approach is used for fusing different biometric modalities. Individual unique modalities of fingerprint and iris biometric are extracted and fused using different fusion techniques. The performance of different fusion techniques is evaluated and the Discrete Wavelet Transform fusion method is identified as the best. Then the best fused biometric template is watermarked into a cover image. The various watermarking techniques such as the Discrete Cosine Transform (DCT), Singular Value Decomposition (SVD) and Bacterial Foraging Optimization Algorithm (BFOA) are implemented to the fused biometric feature image. Performance of watermarking systems is compared using different metrics. It is found that the watermarked images are found robust over different attacks and they are able to reverse the biometric template for Bacterial Foraging Optimization Algorithm (BFOA) watermarking technique. ª 2015 Faculty of Engineering, Alexandria University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

show abstract

“…Navneet Yadav etal [1] suggested a new spread spectrum based adaptive watermarking technique. This scheme used high entropy blocks for embedding the watermark bits.…”

Section: Introductionmentioning

confidence: 99%

A Robust Digital Image Watermarking in Hybrid Frequency Domain

Sridhar¹

2018

IJET

View full text Add to dashboard Cite

Image watermarking is a method to hide the secret information in a host image for copyright protection of watermark data during the transmission by means of insecure channel. The proposed scheme protects our data with adaptive level of visual quality and robustness against signal processing and geometric attacks. The proposed method divides the host image into four non-overlapping segments labelled as sub-images, DWT is applied on each sub images and then block based DCT is applied on mid frequency channels LH and HL of discrete wavelet transform. Embedded matrix is formed using hybrid transformed coefficients where matrix elements are chosen from the localized two mid frequency coefficients of each block in DCT. SV Decomposition is applied on embedded matrix to factorize it into singular values, left and right singular vectors and embed the scrambled watermark image along with scaling factor in singular value matrix. This repetition of watermark data in each sub-image reduces the PSNR values of the watermarked image. Despite this proposed scheme scales down PSNR value, changing the scaling factor favours to adjust the PSNR to the acceptable level and withstand the signal processing attacks such as JPEG compression and geometrical attack such as rotation, translation. Compared to the other method, the proposed scheme gives better correlation coefficient value for above mentioned kinds of attacks and also provide adaptive PSNR for imperceptibility on watermarked image.

show abstract

Robust image-adaptive watermarking using an adjustable dynamic strength factor

Cited by 25 publications

References 20 publications

Visual Saliency Model-Based Image Watermarking with Laplacian Distribution

Visual Saliency Model-Based Image Watermarking with Laplacian Distribution

Comparison of DCT, SVD and BFOA based multimodal biometric watermarking systems

A Robust Digital Image Watermarking in Hybrid Frequency Domain

Contact Info

Product

Resources

About