Hybrid SVD-Based Image Watermarking Schemes: A Review

Alshoura, Wafa’ Hamdan; Zainol, Zurinahni; Teh, Je Sen; Alawida, Moatsum; Alabdulatif, Abdulatif

doi:10.1109/access.2021.3060861

Cited by 58 publications

(29 citation statements)

References 153 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The high PSNR value reveals that the cover image has undergone less distortion and improved the image's quality. In [3], PSNR between the cover and watermarked image is calculated as:…”

Section: Performance Evaluationmentioning

confidence: 99%

“…This value should be more than 0.9 to retain attacks easily. In [3], we can find calculation of NC as,…”

Section: Performance Evaluationmentioning

confidence: 99%

“…With the passage of time, digital information has become an important topic for data security researchers to ensure that this digital content is protected and reliable [1]. Digital watermarking system has been widely used as a data authentication method for transmitting medical data [2][3][4][5]. Watermarking technology has the following four key characteristics [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reversible Watermarking Method with Low Distortion for the Secure Transmission of Medical Images

Taj¹,

Feng²,

Khurram³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

In telemedicine, the realization of reversible watermarking through information security is an emerging research field. However, adding watermarks hinders the distribution of pixels in the cover image because it creates distortions (which lead to an increase in the detection probability). In this article, we introduce a reversible watermarking method that can transmit medical images with minimal distortion and high security. The proposed method selects two adjacent gray pixels whose least significant bit (LSB) is different from the relevant message bit and then calculates the distortion degree. We use the LSB pairing method to embed the secret matrix of patient record into the cover image and exchange pixel values. Experimental results show that the designed method is robust to different attacks and has a high PSNR (peak signal-to-noise ratio) value. The MRI image quality and imperceptibility are verified by embedding a secret matrix of up to 262,688 bits to achieve an average PSNR of 51.657 dB. In addition, the proposed algorithm is tested against the latest technology on standard images, and it is found that the average PSNR of our proposed reversible watermarking technology is higher (i.e., 51.71 dB). Numerical results show that the algorithm can be extended to normal images and medical images.

show abstract

“…The high PSNR value reveals that the cover image has undergone less distortion and improved the image's quality. In [3], PSNR between the cover and watermarked image is calculated as:…”

Section: Performance Evaluationmentioning

confidence: 99%

“…This value should be more than 0.9 to retain attacks easily. In [3], we can find calculation of NC as,…”

Section: Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reversible Watermarking Method with Low Distortion for the Secure Transmission of Medical Images

Taj¹,

Feng²,

Khurram³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

show abstract

“…On the other hand, to protect copyrights and provide a form of digital signatures, watermarking techniques are used. The authors of [14] provided a comprehensive analysis of state-of-the-art hybrid SVD watermarking techniques.…”

Section: Literature Reviewmentioning

confidence: 99%

Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography

Al-Shaarani

Gutub

2021

Arab J Sci Eng

View full text Add to dashboard Cite

Secret sharing is an approach for accessing sensitive information by several authorized participants. It shares the secret key in different forms among several authorized participants, where a certain number of which is required to retrieve the original secret. This secret sharing raised a new practicality challenge of human secrecy memorization as well as limited number of users allowed, which have been addressed within this work. This paper examines two particular secret sharing techniques known as the counting-based secret sharing and the matrix-based secret sharing, which enhances the former to accommodate a high number of participants. This work aimed to serve participants accommodating the share's memorization challenge via image steganography as well as testing both schemes in the cases of original 1-bit and 2-bit methods. We compared practicality applying the secret sharing methods combined with two image steganography methods: the least significant bit and the discrete wavelet transform. Our findings included interesting remarks regarding both security and robustness. Our results demonstrated that despite the large number of shares generated, as to serve more participants using the matrix-based scheme, its performance was highly satisfactory. Our experiments illustrated high imperceptibility levels for the matrix-based scheme, which in turn provides higher security and robustness compared to the original method, which provided very few shares serving a limited number of participants.

show abstract

“…This reduces the computing cost, but weakens robustness. In the frequency domain, the cover image is first converted from the spatial domain to the frequency domain through various transforms, such as discrete Fourier transform (DFT) [10], discrete cosine transform (DCT) [11], discrete wavelet transform (DWT) [12][13][14], and singular value decomposition (SVD) [15]. Frequency-domain watermarking is more computationally intensive but more robust than spatial-domain watermarking.…”

Section: Introductionmentioning

confidence: 99%

An Improved Medical Image Watermarking Technique Based on Weber’s Law Descriptors

Reddy¹,

Reddy²

2021

View full text Add to dashboard Cite

In distributed m-health communication, it is a major challenge to develop an efficient blind watermarking method to protect the confidential medical data of patients. This paper proposes an efficient blind watermarking for medical images, which boasts a very high embedding capacity, a good robustness, and a strong imperceptibility. Three techniques, namely, discrete cosine transform (DCT), Weber’s descriptors (WDs), and Arnold chaotic map, were integrated to our method. Specifically, the Arnold chaotic map was used to scramble the watermark image. Then, the medical image was partitioned into non-over lapping blocks, and each block was subjected to DCT. After that, the scrambled watermark image data were embedded in the middle-band DCT coefficients of each block, such that two bits were embedded in each block. Simulation results show that the proposed watermarking method provides better imperceptibility, robustness, and computational complexity results with higher embedding capacity than the contrastive method.

show abstract

Hybrid SVD-Based Image Watermarking Schemes: A Review

Cited by 58 publications

References 153 publications

Reversible Watermarking Method with Low Distortion for the Secure Transmission of Medical Images

Reversible Watermarking Method with Low Distortion for the Secure Transmission of Medical Images

Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography

An Improved Medical Image Watermarking Technique Based on Weber’s Law Descriptors

Contact Info

Product

Resources

About