A secure and robust color image watermarking using nature-inspired intelligence

Sharma, Harish; Sharma, Janki Ballabh; Poonia, Ramesh Chandra

doi:10.1007/s00521-020-05634-8

Cited by 21 publications

(10 citation statements)

References 26 publications

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“…We conducted the investigational tests on six frequently employed 8‐bit greyscale images including Lena, Peppers, Baboon, Airport, Elaine, and House. We compared the performance of the proposed extraction scheme against two state‐of‐art works that benefited from a reference message [ 9 , 11 ] to improve the robustness. To evaluate the loss of quality caused by the watermark embedding, we used the Peak signal‐to‐noise ratio (PSNR).…”

Section: Performance Evaluationmentioning

confidence: 99%

“…However, the optimization of one objective solely limits the scheme's performance. To overcome this limi-tation, the concept of weighting factors was introduced, where each watermark characteristics (imperceptibility, HC, and robustness) are weighted according to the application requirements, then summed to define one objective function [5][6][7][8][9][10] . For instance, Shen et al [8] defined the objective function using correlation coefficient to represent both the imperceptibility and the robustness; in the former between the original image and the watermaked one, and in the latter between the inserted watermark (image) and the retrieved one.…”

Section: Introductionmentioning

confidence: 99%

“…Regardless of the used algorithm and the fitness function formulation, the previous schemes [2][3][4][5][6][7][8][9][10][11][12] share the intention of optimizing the embedding process. However, such optimization requires additional computational resource, which makes these schemes unsuitable for real-time applications.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Reframed Watermark Extraction Approach Using the ABC Algorithm

Kricha

Sakly

2021

Chinese J of Electronics

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The fast development and the rapid spread of information technology have raised the issue of digitalimage copyright protection, which was mostly addressed through robust watermarking. To ensure the survival of the watermark after attacks, most works have been making use of an additional step at the embedding phase, and by so making the scheme unsuitable for real-time implementation. However, to be effective and secure, it is recommended to combine the watermarking algorithm and the capture sensor in one device. In this paper, we brought the extra stage to the detection side. We firstly studied the effect of some signal processing operations on a watermarked image, then we proposed a general model for watermark extraction whose parameters were determined using the artificial bee colony. The efficacy of the proposed method was validated by comparing its robustness with two state-of-art schemes focusing on the watermark extraction.

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Section: Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Reframed Watermark Extraction Approach Using the ABC Algorithm

Kricha

Sakly

2021

Chinese J of Electronics

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“…In addition, other identifying data attached to images may be lost, hacked, or archived incorrectly. Although various methods have been proposed in the literature to solve these problems, the watermarking technique is one of the most popular methods [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…In other cases, the system may emerge from chaos. In (5), the set of equations can be seen with parameter values entered. e watermarking application generated random numbers according to the parameter values and initial conditions selected in the article study.…”

mentioning

confidence: 99%

DWT‐SVD Based Watermarking for High‐Resolution Medical Holographic Images

et al. 2022

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Watermarking is one of the most common techniques used to protect data’s authenticity, integrity, and security. The obfuscation in the frequency domain used in the watermarking method makes the watermarking stronger than the obfuscation in the spatial domain. It occupies an important place in watermarking works in imperceptibility, capacity, and robustness. Finding the optimal location to hide the watermarking is one of the most challenging tasks in these methods and affects the method’s performance. In this article, sample identification information is processed with the method of watermaking on the hiding environment created by using a chaos-based random number generator on biomedical data to provide solutions to problems such as visual attack, identity theft, and information confusion. In order to obtain biomedical data, a lensless digital in-line holographic microscopy (DIHM) setup was designed, and holographic data of human blood and cancer cell lines, which are widely used in the laboratory environment, were obtained. The standard USAF 1951 target was used to evaluate the resolution of our imaging setup. Various QR codes were generated for medical sample identification, and the captured medical data were processed by watermarking it with chaos-based random number generators. A new method using chaos-based discrete wavelet transform (DWT) and singular value decomposition (SVD) has been developed and applied to high-resolution data to eliminate the problem of encrypted data being directly targeted by third-party attacks. The performance of the proposed new watermarking method has been demonstrated by various robustness and invisibility tests. Experimental results showed that the proposed scheme reached an average PSNR value of 564588 dB and SSIM value of 0.9972 against several geometric and destructive attacks, which means that the proposed method does not affect the image quality and also ensures the security of the watermarking information. The results of the proposed method have shown that it can be used efficiently in various fields.

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