A Robust Digital Image Watermarking Algorithm Using DWT and SVD

Yadav, Bandana; Kumar, Ashish; Kumar, Yogendera

doi:10.1007/978-981-10-5687-1_3

Cited by 27 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It gave an average PSNR value of 42.74 dB but gave a low NC (normalized correlation) value of the watermarked image after the cropping and rotation attacks. However, Yadav et al 21 obtained comparatively better performance for cropping and rotation attacks. In the method, the original image and the watermark image take the blocks of 256 × 256 and 144 × 144, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel watermarking scheme based on discrete wavelet transform‐singular value decomposition

Yasmeen

Uddin

2022

Security and Privacy

View full text Add to dashboard Cite

Due to the rapid advancement in information technology, individuals as well as organizations frequently transfer or share their digital content via cyberspace. The security and integrity of this digital content become a big concern, as any middleman can misuse or temper this content. Digital watermarking is a blessing to protect it from any unwanted tampering. Even though many researchers have implemented various watermarking approaches, but still ownership protection and reliability concerns are not fully mitigated. This paper proposes an improved novel hybrid watermarking scheme by combining discrete wavelet transform (DWT) with singular value decomposition (SVD) to minimize these concerns. At first, the host image is decomposed by multi‐level DWT and a two‐level SVD is applied to the fourth lower‐level coefficient (LL5) of the host image. Then the watermark is inserted into the specified sub‐band of the host image. The watermark is extracted in a reverse manner. The hybridization of DWT and SVD ensures that the watermarking technique performs better in terms of visual distortion and robustness. The outcomes of the experiment show that our proposed method is more robust, imperceptible, and secure than the existing DWT‐SVD based methods, even with a broad watermark scale.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

A novel watermarking scheme based on discrete wavelet transform‐singular value decomposition

Yasmeen

Uddin

2022

Security and Privacy

View full text Add to dashboard Cite

show abstract

“…The SVD technology converts an object from an array into three arrays that are similar in their sizes to the original matrix. Assume that A is an object and that the SVD is defined by Equation (1) [36][37][38].…”

Section: Singular Value Decompositionmentioning

confidence: 99%

“…Afterwards, this causes a local deformation, which is connected with the EDT. Therefore, the medium frequency regions do not affect the quality of an object [36,44].…”

Section: Discrete Cosine Transformmentioning

confidence: 99%

Secure Watermarking Schemes and Their Approaches in the IoT Technology: An Overview

Wazirali

Ahmad

Al-Amayreh³

et al. 2021

Electronics

View full text Add to dashboard Cite

Information security is considered one of the most important issues in various infrastructures related to the field of data communication where most of the modern studies focus on finding effective and low-weight secure approaches. Digital watermarking is a trend in security techniques that hides data by using data embedding and data extraction processes. Watermarking technology is integrated into different frames without adding an overheard as in the conventional encryption. Therefore, it is efficient to be used in data encryption for applications that run over limited resources such as the Internet of Things (IoT). In this paper, different digital watermarking algorithms and approaches are presented. Additionally, watermarking requirements and challenges are illustrated in detail. Moreover, the common architecture of the watermarking system is described. Furthermore, IoT technology and its challenges are highlighted. Finally, the paper provides the motivations, objectives and applications of the recent secure watermarking techniques in IoT and summarises them into one table. In addition, the paper highlights the potential to apply the modified watermark algorithms to secure IoT networks.

show abstract

“…Among them, robust watermarking is widely considered for copyright protection and ownership verification in the image watermarking (Liu et al, 2019). For the robust watermarking schemes, there are two most common embedding methods: the space domain insertion and the transform domain insertion (Chan & Cheng, 2004;Guo et al, 2017;Nikolaidis & Pitas, 1998;Yadav et al, 2018). Specifically, the former is that the pixel values of host image are changed directly to embed watermark, which has low computational complexity but the ability of resisting image processing attack and geometric attack is relatively weak (Makbol & Khoo, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, the former is that the pixel values of host image are changed directly to embed watermark, which has low computational complexity but the ability of resisting image processing attack and geometric attack is relatively weak (Makbol & Khoo, 2014). The latter is that the transform coefficients of the cover image are used to embed the watermark, and the transform coefficients can be obtained by performing different transform, e.g., Discrete Wavelet Transform (DWT) (Yadav et al, 2018), Integer Wavelet Transform (IWT) (Su et al, 2012), redundant discrete wavelet transform (H.-C. , discrete cosine transform (Barni et al, 1998), and discrete Fourier transform (Pun, 2006) etc. Compared with space domain insertion, the robustness of transform domain insertion is better, while the computational complexity is higher.…”

Section: Introductionmentioning

confidence: 99%

A multi-scale image watermarking based on integer wavelet transform and singular value decomposition

Luo

Liu

et al. 2021

Expert Systems with Applications

View full text Add to dashboard Cite

A Robust Digital Image Watermarking Algorithm Using DWT and SVD

Cited by 27 publications

References 17 publications

A novel watermarking scheme based on discrete wavelet transform‐singular value decomposition

A novel watermarking scheme based on discrete wavelet transform‐singular value decomposition

Secure Watermarking Schemes and Their Approaches in the IoT Technology: An Overview

A multi-scale image watermarking based on integer wavelet transform and singular value decomposition

Contact Info

Product

Resources

About