Robust Watermarking Algorithm against the Geometric Attacks based on Non-Subsampled Shearlet Transform and Harris-Laplace Detector

Zhou, Lian; Zuo, Mei-Juan; Shi, Hao; Zhang, Ye; Gong, Li

doi:10.1155/2022/7605595

Cited by 5 publications

(3 citation statements)

References 38 publications

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“…A. Semi-fragile watermarking is unaffected by conventional video processing procedures, but it is vulnerable to malicious assaults, making it ideal for tamper detection (Zhou, et al, 2022). The digital watermarking systems may be further divided into spatial domain watermarking and transform domain watermarking based on the embedding domain as mentioned in Fig.…”

Section: Video Watermarkingmentioning

confidence: 99%

The Most Common Characteristics of Fragile Video Watermarking

Hassan

Rahma

2023

ARO

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The progress of network and multimedia technologies has been phenomenal during the previous two decades. Unauthorized users will be able to copy, retransmit, modify reproduction, and upload the contents more easily as a result of this innovation. Malicious attackers are quite concerned about the development and widespread use of digital video. Digital watermarking technology gives solutions to the aforementioned problems. Watermarking methods can alleviate these issues by embedding a secret watermark in the original host data, allowing the genuine user or file owner to identify any manipulation. In this study, lots of papers have been analyzed and studied carefully, in the period 2011–2022. The historical basis of the subject should not be forgotten so studying old research will give a clear idea of the topic. To aid future researchers in this subject, we give a review of fragile watermarking approaches and some related papers presented in recent years. This paper presents a comparison of many relevant works in this field based on some of the outcomes and improvements gained in these studies, which focuses on the common characteristics that increase the effect of watermarking techniques such as invisibility, tamper detection, recovery, and security

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Section: Video Watermarkingmentioning

confidence: 99%

The Most Common Characteristics of Fragile Video Watermarking

Hassan

Rahma

2023

ARO

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“…2D wavelets help separate edge point discontinuities but do not handle continuities along smooth curves. 2D wavelets are produced by tensor multiplication of 1D wavelets [25]. As the scale is reduced, the quantity of these expressions rises, revealing the wavelet's vulnerability.…”

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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“…For watermarking algorithms, it is also vital to extract local features. Zhou et al [20] extracted the feature points using the Harris Laplace operator, while Nguyen Thanh et al [21] implemented a blind watermark algorithm for medical images using the SIFT operator. Besides, Wu et al [22] used the gradient direction to improve the main direction extraction mode in the traditional ORB algorithm.…”

Section: Introductionmentioning

confidence: 99%

Blind watermarking algorithm with 2D-SCCM chaotic system encryption based on SURF and RHFMs

Lu,

Feng,

Teng

et al. 2024

Phys. Scr.

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In this paper, a digital watermarking algorithm was proposed based on local feature regions and radial harmonic Fourier moments. It used a quantized modulation algorithm to embed the watermark information into the frequency domain information of the image. Compared with traditional watermark directedly embedded into the pixel values, the algorithm enhanced the invisibility of the watermark. Many existing digital watermarking algorithms neglected the security of the embedding process, because of more attention on the effect of post-embedding and extraction. To overcome this problem, we proposed a two-dimensional hyperchaotic system named 2D-SCCM chaotic system, which used classical sine mapping and cubic mapping for coupling. Before embedding, the correlation among the pixels of the watermarked image was disrupted, resulting in a full process security enhancement. Combining the clustering algorithm with feature point extraction, the obtained local feature region was more stable and suitable for watermark embedding. Results showed that the improved watermark embedding algorithm was more effective for resisting geometric attacks such as cropping attacks. Moreover, the PSNR values of the final watermark-embedded images were all greater than 50 dB, indicating a good balance between imperceptibility and robustness.

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Robust Watermarking Algorithm against the Geometric Attacks based on Non-Subsampled Shearlet Transform and Harris-Laplace Detector

Cited by 5 publications

References 38 publications

The Most Common Characteristics of Fragile Video Watermarking

The Most Common Characteristics of Fragile Video Watermarking

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

Blind watermarking algorithm with 2D-SCCM chaotic system encryption based on SURF and RHFMs

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