Perceptually Tuned Watermarking Using Non-subsampled Shearlet Transform

Favorskaya, Margarita N.; Jain, Lakhmi C.; Savchina, Eugenia

doi:10.1007/978-3-319-67994-5_3

Cited by 19 publications

(4 citation statements)

References 73 publications

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“…DST is fundamentally an affine system that uses a single mother Shearlet function specified by three parameters: scaling, translation, and shear. The shear parameter is used to specify the directions of the various singularities [26]. For the image I, its mapping is described as follows: 𝐼 → 𝑆𝐻 𝐼(𝑎, 𝑠, 𝑡) (16) The three parameters a, s, and t, represent scale, shearing, and translation, respectively, where a > 0 and s ∈ ℤ.…”

Section: Discrete Shearlet Transformmentioning

confidence: 99%

A Robust NIfTI Image Authentication Framework Based on DST and Multi-Scale Otsu Thresholding

et al. 2022

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Telemedicine has been intensely promoted in the present pandemic situation of COVID-19 to maintain a strategic distance from the infected person. Several medical tests were used to detect the coronavirus, including antigen, RT-PCR, and a lung CT scan. Only a lung CT-Scan can detect the coronavirus and provide information about the lung infection. As a result, digital imaging plays a critical role in the current pandemic situation. Teleradiology allows for the communication of digital medical images of patients over the internet for diagnosis. A lung CT-Scan test is currently being performed on billions of people to detect COVID-19. These images were sent via the internet for diagnosis and research purposes. The NIfTI image file (.nii extension) was created by the CT-Scanner and contains multiple slices of the lungs. As a result, radiologists determine that the received image has not been tempered during transmission, posing a critical authenticity problem when transmitting these images over the internet. As a result, the researchers are more concerned about the integrity and authenticity of these images in teleradiology. This paper proposes a blind, robust watermarking scheme for lung CT-Scan NIfTI images to address this issue. We use Otsu's image segmentation algorithm in the proposed scheme to identify the slice with the least amount of medical information for watermark embedding. The proposed scheme employs the Discrete Shearlet Transform (DST), Lifting Wavelet Transform (LWT), and Schur decomposition to embed the encrypted watermark. Watermarks are encrypted using the Affine Transform. The experimental results show that watermarked slice has been tainted by the addition of various sorts of noise, including salt-and-pepper noise, compression, Gaussian noise, speckle noise, and motion blur. After an attack, a watermark is retrieved, and the NC values of extracted watermarks are 0.99623 for Salt and pepper noise, 0.96964 for Gaussian noise, 0.99014 for Speckle noise. The proposed scheme was put to the test with a variety of attacks and produced significant results.

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Section: Discrete Shearlet Transformmentioning

confidence: 99%

A Robust NIfTI Image Authentication Framework Based on DST and Multi-Scale Otsu Thresholding

et al. 2022

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“…In this approach, a perceptual channel decomposition of the host image is done to provide the appropriate regions for embedding. A non-subsampled shearlet transform is then applied to the selected regions [29]. SVD is then applied to the obtained NSST coefficient.…”

Section: Related Workmentioning

confidence: 99%

A robust blind medical image watermarking approach for telemedicine applications

et al. 2021

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In order to enhance the security of exchanged medical images in telemedicine, we propose in this paper a blind and robust approach for medical image protection. This approach consists in embedding patient information and image acquisition data in the image. This imperceptible integration must generate the least possible distortion. The watermarked image must present the same clinical reading as the original image. The proposed approach is applied in the frequency domain. For this purpose, four transforms were used: discrete wavelets transform, non-subsampled contourlet transform, non-subsampled shearlet transform and discreet cosine transform. All these transforms was combined with Schur decomposition and the watermark bits were integrated in the upper triangular matrix. To obtain a satisfactory compromise between robustness and imperceptibility, the integration was performed in the medium frequencies of the image. Imperceptibility and robustness experimental results shows that the proposed methods maintain a high quality of watermarked images and are remarkably robust against several conventional attacks. Keywords Medical image Á Digital watermarking Á Discrete wavelet transform Á Non-subsampled contourlet transform Á Non-subsampled shearlet transform Á Discreet cosine transform Á Schur decomposition

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“…The Shearlet method is also related to multi-resolution analysis [36]. Figure 1 shows the frequency domain of the Shearlet transform [39].…”

Section: Shearlet Transformmentioning

confidence: 99%

Proposing a New Image Watermarking Method Using Shearlet Transform and Whale Optimization Algorithm

Saadati

Vahidi

Seydi

et al. 2021

IJE

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Digital watermarking is a method for data hiding that ensures the security of multimedia data. The watermark can be a digital image or data stored within digital content. The Shearlet transform, a multiresolution and multi-directional conversion, can be used for watermarking in digital images. Due to its superior features, this conversion can increase the efficiency of applications such as watermarking of images. In this paper, Shearlet and the Singular Value Decomposition (SVD) transforms are used with the Whale optimization algorithm to obtain the most appropriate scaling factor in the watermark extraction step after applying different types of image processing attacks. Shearlet transform has more transparency than traditional converts. The SVD transform also increases the robustness of watermarking operations. The results of different experiments show that the new method presented in this paper, in terms of robustness and imperceptibility compared to the evaluated methods, performs better than most image processing attacks.

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Perceptually Tuned Watermarking Using Non-subsampled Shearlet Transform

Cited by 19 publications

References 73 publications

A Robust NIfTI Image Authentication Framework Based on DST and Multi-Scale Otsu Thresholding

A Robust NIfTI Image Authentication Framework Based on DST and Multi-Scale Otsu Thresholding

A robust blind medical image watermarking approach for telemedicine applications

Proposing a New Image Watermarking Method Using Shearlet Transform and Whale Optimization Algorithm

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