Development of optimum watermarking algorithm for radiography images

El_Tokhy, Mohamed S.

doi:10.1016/j.compeleceng.2020.106932

Cited by 9 publications

(4 citation statements)

References 28 publications

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“…The author experimented with the scheme’s performance by using various watermarking attacks. Tokhy [ 12 ] created a MIW algorithm in which the fused radiography image serves as the host image. The author employed the Ridgelet transform (RT) and the backtracking search optimization method for the watermarking approach to achieve the best balance of robustness and image imperceptibility.…”

Section: Complementary Workmentioning

confidence: 99%

“…Table 7 shows the comparison result of the proposed scheme's performance to that of [5,7,19]. Figures 11,12, and 13 depict the results. Compared to state-of-the-art approaches, the proposed scheme outperforms them in every way.…”

Section: Comparison Analysismentioning

confidence: 99%

“…Most researchers nowadays focus on hybrid domain techniques, which combine transform domain with spatial domain techniques, which have both advantages. Recently, fusion-based MIW is gaining popularity, improving diagnostic accuracy [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

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A robust and secured fusion based hybrid medical image watermarking approach using RDWT-DWT-MSVD with Hyperchaotic system-Fibonacci Q Matrix encryption

Sajeer

Mishra

2023

Multimed Tools Appl

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Digital image watermarking, the process of marking a host image with a watermark, is generally used to authenticate the data. In the medical field, it is of utmost importance to verify the authenticity of the data using Medical Image Watermarking (MIW), especially in e-healthcare applications. Recently, MIW with image fusion, the merging of multimodal images to improve image quality, is being widely utilized to make diagnosis more accessible and precise with the verified data. This paper offers a durable and secure fusion-based hybrid MIW approach. The method initially used Fast Filtering (FF) to merge two medical images from different modalities to form the cover image. A first-level Redundant Discrete Wavelet Transform (RDWT) is employed on this host image to locate the component with the highest entropy. Then a single-level Discrete Wavelet Transform (DWT) is applied to it. It performed a Multi-resolution Singular Value Decomposition (MSVD) on the wavelet decomposed component and the embedding watermark. Finally, a Hyperchaotic System-Fibonacci Q Matrix (HFQM) encryption system was utilized, which increases the watermarked image’s security. Here, using various medical images, the performance of the proposed technique is evaluated. Without any attacks, the approach achieved a maximum Peak Signal to Noise Ratio (PSNR) of 90.31 dB and a Structural Similarity Index Matrix (SSIM) of value 1. Various watermarking assaults were employed to test the proposed method’s resilience. The suggested technique achieved a perfect value of 1 for the Normalised Correlation (NC) for almost all attacks with acceptable imperceptibility, which substantially improves over current procedures. The suggested technique’s average embedding and extraction times are 0.3958 and 0.4721 seconds, respectively, which are pretty short compared to existing approaches.

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Section: Complementary Workmentioning

confidence: 99%

Section: Comparison Analysismentioning

confidence: 99%

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A robust and secured fusion based hybrid medical image watermarking approach using RDWT-DWT-MSVD with Hyperchaotic system-Fibonacci Q Matrix encryption

Sajeer

Mishra

2023

Multimed Tools Appl

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“…Wybierając odpowiednią metodę należy zwrócić uwagę na pogorszenie się jakości obrazu oraz występowanie zmian, które mogą wskazywać na istnienie dołączonego znaku [14]. W celu obiektywnego zbadania jakości obrazów z umieszczonymi znakami wodnymi wykorzystano metryki względne i bezwzględne, które oceniają w różny sposób jakość obrazu badając wielkość zakłóceń konkretnego typu [15]. Analiza uzyskanych wyników wykazała, że najmniejsze zniekształcenia wprowadziła metoda SVD.…”

Section: Ocena Jakości Oznakowanych Obrazówunclassified

Comparative analysis of the methods of watermarking X-ray images

Kulbaka

Paluch²,

Kozieł

2021

jcsi

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This paper is devoted to the comparative analysis of watermarking algorithms for X-ray images. The techniques based on discrete wavelet transform (DWT), singular value decomposition (SVD) and DWT-SVD hybrid were compared. Transparency, resistance to graphical transformations, and performance were investigated. The watermarked images were visually evaluated and quality tested. SVD showed the highest resistance to attacks, and the embedded watermarked images were of better quality in the comparison to the other algorithms. The DWT technique was the fastest, but not resistant to graphical transformations. In DWT-SVD labeled images, the watermark is indistinguishable, but the resistance to attacks is low. The SVD was found to be the most suitable method for watermarking of X-ray images.

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