A robust color image watermarking with Singular Value Decomposition method

Doğan, Şengül; Tuncer, Türker; Avcı, Engin; Gülten, Arif

doi:10.1016/j.advengsoft.2011.02.012

Cited by 33 publications

(11 citation statements)

References 17 publications

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“…The Cr value is considered as a robustness quality metric that measures the difference between the extracted and the original watermarks. The closer the Cr value to one, the larger the robustness is [37,38]. The mathematical representation of the Cr is given in (25), where W and  W are the original and extracted watermarks, respectively.…”

Section: Simulation Resultsmentioning

confidence: 99%

Hybrid Error Control and Security Framework for Reliable Cornea and Infrared Video Communication in IoT Applications

El‐Shafai

Daosh

Haggag

et al. 2021

Preprint

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In this paper, we present hybrid watermarking and error control techniques for reliable cornea and infrared frame communication through wireless networks in Internet of Things (IoT) applications. In the proposed watermarking technique, two stages of Singular Value Decomposition (SVD) watermarking are used. In the embedding stage, two watermark images are embedded in either the cornea or infrared frames using Block-based SVD (B-SVD) and SVD schemes, respectively. Then, the resulting watermarked cornea or infrared frames are transmitted through an erroneous wireless channel. At the receiver, the received corrupted cornea or infrared frames are recovered using a proposed hybrid post-processing error control technique. This technique comprises a Circular Spatial-scan Order Interpolation Algorithm (CSOIA) and a temporal Partitioning Motion Compensation Algorithm (PMCA) to reconstruct the erroneous cornea or infrared frames. Then, the Bayesian Kalman Filter (BKF) is utilized in the amelioration process due to its efficiency to smooth the remanent inherent corruptions in the formerly reconstructed frames to obtain high cornea or infrared video quality. After that, the watermark extraction stage is implemented to extract the watermark images from the watermarked frames. Simulation results on several cornea and infrared frames show that the suggested hybrid watermarking, and error control techniques reveal adequate subjective and objective video quality compared to those obtained with the traditional methods. In addition, the watermark detectability, robustness, and security are enhanced. Moreover, the experimental results show that the proposed watermarking technique is superior and more secure than the other previous techniques for embedding and extraction of watermarks, efficiently, in the presence of attacks.

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Section: Simulation Resultsmentioning

confidence: 99%

Hybrid Error Control and Security Framework for Reliable Cornea and Infrared Video Communication in IoT Applications

El‐Shafai

Daosh

Haggag

et al. 2021

Preprint

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show abstract

“…We conduct some literature review to show that two vulnerable attacks presented in this paper also occur in the recently published SVD-based image watermarking scheme [1][2][3][4][5][6][7][8]. Table I shows comparison on several SVD-based image watermarking scheme.…”

Section: Comparison With the Other Methodsmentioning

confidence: 99%

“…The RDWT-SVD based watermarking has the highest watermark embedding capacity compared with the other scheme. However, the two vulnerable attacks will definitely occur in [1][2][3][4][5][6][7][8]. Thus, the SVD-based image watermarking fails to satisfy the requirement as a tool of ownership and copyright protection.…”

Section: Comparison With the Other Methodsmentioning

confidence: 99%

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Security attacks on the wavelet transform and singular value decomposition image watermarking

Guo

Prasetyo

2013

2013 IEEE International Symposium on Consumer Electronics (ISCE)

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“…Watermark technologies [18] have been applied to image, video, audio and mesh tools since they were first developed [11,17,23,24]. It is widely used for data hiding, copyright protection and integrity verification.…”

Section: Related Workmentioning

confidence: 99%

G²Interpolation for polar surfaces

Wang

Cheng

2016

Computer-Aided Design and Applications

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The automatic detection of engineering drawing modifications made by other designers is central to improving CAD/CAPP working efficiency levels. Engineering drawings include numerous entities, but only a few entities are modified. It is difficult for designers to identify modified entities in a complex drawing. This paper presents a novel means of detecting entities in engineering drawings created by other designers that employs semi-fragile watermark technologies. Modifications will change embedded watermarks. Consequently, detection is realized by analyzing changes. The approach was implemented, and the experimental results demonstrate that the method is reliable and can accurately detect entities that have been modified, deleted and added.

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A robust color image watermarking with Singular Value Decomposition method

Cited by 33 publications

References 17 publications

Hybrid Error Control and Security Framework for Reliable Cornea and Infrared Video Communication in IoT Applications

Hybrid Error Control and Security Framework for Reliable Cornea and Infrared Video Communication in IoT Applications

Security attacks on the wavelet transform and singular value decomposition image watermarking

G²Interpolation for polar surfaces

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A robust color image watermarking with Singular Value Decomposition method

Cited by 33 publications

References 17 publications

Hybrid Error Control and Security Framework for Reliable Cornea and Infrared Video Communication in IoT Applications

Hybrid Error Control and Security Framework for Reliable Cornea and Infrared Video Communication in IoT Applications

Security attacks on the wavelet transform and singular value decomposition image watermarking

G2Interpolation for polar surfaces

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Product

Resources

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G²Interpolation for polar surfaces