An Efficient Scheme of Digital Image Watermarking Based on Hessenberg Factorization and DWT

Abduldaim, Areej M.; Waleed, Jumana; Mazher, Alaa Noori

doi:10.1109/csase48920.2020.9142096

Cited by 13 publications

(5 citation statements)

References 8 publications

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“…The PSNR values of the proposed watermarking method are compared to those of other current techniques in Table 2 ( Zermia et al, 2021 ; Makbol & Khoo, 2014 ; Bamal & Kasana, 2019 ; Kunhu, Al-Ahmad & Taher, 2017 ; Singh, Singh & Singhal, 2018 ; Aboden & Agoyi, 2018 ; Abduldaim, Waleed & Mazher, 2020 ). Six different NIfTI pictures with PSNR values between 60 and 61 were used to evaluate the suggested approach.…”

Section: Resultsmentioning

confidence: 99%

“…Six different NIfTI pictures with PSNR values between 60 and 61 were used to evaluate the suggested approach. The PSNR values of other existing schemes range from 40.13 to 64.93 dB, with an average PSNR of 52.60 dB for scheme ( Zermia et al, 2021 ), 43.67 dB for scheme ( Makbol & Khoo, 2014 ), 50.38 dB for scheme ( Bamal & Kasana, 2019 ), 49.78 dB for scheme ( Kunhu, Al-Ahmad & Taher, 2017 ), 57.41 dB for scheme ( Singh, Singh & Singhal, 2018 ), 40.15 dB for scheme ( Aboden & Agoyi, 2018 ), and 46.64 dB for scheme ( Abduldaim, Waleed & Mazher, 2020 ), as shown in Fig. 4 .…”

Section: Resultsmentioning

confidence: 99%

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A robust NIfTI image authentication framework to ensure reliable and safe diagnosis

Basheer

Singh

Sharma

et al. 2023

PeerJ Computer Science

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Advancements in digital medical imaging technologies have significantly impacted the healthcare system. It enables the diagnosis of various diseases through the interpretation of medical images. In addition, telemedicine, including teleradiology, has been a crucial impact on remote medical consultation, especially during the COVID-19 pandemic. However, with the increasing reliance on digital medical images comes the risk of digital media attacks that can compromise the authenticity and ownership of these images. Therefore, it is crucial to develop reliable and secure methods to authenticate these images that are in NIfTI image format. The proposed method in this research involves meticulously integrating a watermark into the slice of the NIfTI image. The Slantlet transform allows modification during insertion, while the Hessenberg matrix decomposition is applied to the LL subband, which retains the most energy of the image. The Affine transform scrambles the watermark before embedding it in the slice. The hybrid combination of these functions has outperformed previous methods, with good trade-offs between security, imperceptibility, and robustness. The performance measures used, such as NC, PSNR, SNR, and SSIM, indicate good results, with PSNR ranging from 60 to 61 dB, image quality index, and NC all close to one. Furthermore, the simulation results have been tested against image processing threats, demonstrating the effectiveness of this method in ensuring the authenticity and ownership of NIfTI images. Thus, the proposed method in this research provides a reliable and secure solution for the authentication of NIfTI images, which can have significant implications in the healthcare industry.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A robust NIfTI image authentication framework to ensure reliable and safe diagnosis

Basheer

Singh

Sharma

et al. 2023

PeerJ Computer Science

View full text Add to dashboard Cite

show abstract

“…A watermarking method is suggested in [5] that includes multi-level discrete wavelet transform (DWT) with singular value decomposition (SVD) on both the original host image and the watermark image to perform the embedding procedure. The technique suggested in [6] is utilized just the discrete wavelet transform (DWT) on the original cover image. It is worth mentioning that, as far as we know, there is no zero watermarking technique that uses the HDM.…”

Section: Literature Reviewmentioning

confidence: 99%

Algebraic Decomposition Method for Zero Watermarking Technique in YCbCr Space

Mohammed¹,

Abduldaim²

2022

ETJ

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“…NMF model [14] is introduced three steps binarization framework for MS document images using three steps of features extraction, post processing methods and applying algorithm for selected coefficient parameter to extract the text. An efficient watermarking scheme has been proposed based on Hessenberg Matrix decomposition which transforming the cover image by discrete wavelet transform [15].…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Based on Matrix Factorization

Khalane¹,

Suralkar²,

Bhadade³

2020

IJSSE

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In this paper, we present a matrix decomposition-based approach for image cryptography. The proposed method consists of decomposing the image into different component and scrambling the components to form the image encryption technique. We use two different type of matrix decomposition techniques to check the efficiency of proposed encryption method. The decomposition techniques used are Independent component analysis (ICA) and Non-Negative Matrix factorization (NMF). The proposed technique has unique user defined parameters (key) such as decomposition method, number of decomposition components and order in which the components are arranged. The unique encryption technique is designed on the basis of these key parameters. The original image can be reconstructed at the decryption end only if the selected parameters are known to the user. The design examples for both decomposition approaches are presented for illustration purpose. We analyze the complexity and encryption time of cryptography system. Results prove that the proposed scheme is more secure as it has less correlation between the input image and the encrypted version of the same as compared to state-of-art methods. The computation time of the proposed approach is found to be comparable.

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An Efficient Scheme of Digital Image Watermarking Based on Hessenberg Factorization and DWT

Cited by 13 publications

References 8 publications

A robust NIfTI image authentication framework to ensure reliable and safe diagnosis

A robust NIfTI image authentication framework to ensure reliable and safe diagnosis

Algebraic Decomposition Method for Zero Watermarking Technique in YCbCr Space

Image Encryption Based on Matrix Factorization

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