Generic Reversible Visible Watermarking via Regularized Graph Fourier Transform Coding

Qi, Wenfa; Guo, Sirui; Hu, Wei

doi:10.1109/tip.2021.3134466

Cited by 21 publications

(4 citation statements)

References 42 publications

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“…Several attacks and methodologies able to find out an embedded watermark, erase or change it were identified. Qi et al [6] proposed a generic reversible visible watermarking method using graph Fourier transform, which was visible and could resist several attacks. However, the proposed method is a blind watermarking approach, which is more difficult to apply than other methods, such as non-blind and semi-blind.…”

Section: Related Workmentioning

confidence: 99%

“…However, the proposed method is a blind watermarking approach, which is more difficult to apply than other methods, such as non-blind and semi-blind. Singh et al [6] proposed a hybrid watermarking algorithm for healthcare. Currently, several types of patient data are used in healthcare, with most being images and videos.…”

Section: Related Workmentioning

confidence: 99%

“…The system is chaotic and repeats itself at every time step R, that is S R = S 0 . Voyatzis and Pitas [35] proposed a special type of matrix A for Equation (6), where A can be formed from one value k.…”

Section: The Scrambling Algorithmmentioning

confidence: 99%

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A Semi-Fragile, Inner-Outer Block-Based Watermarking Method Using Scrambling and Frequency Domain Algorithms

et al. 2023

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Image watermarking is most often used to prove that an image belongs to someone and to make sure that the image is the same as was originally produced. The type of watermarking used for the detection of originality and tampering is known as authentication-type watermarking. In this paper, a blind semi-fragile authentication watermarking method is introduced. Although the main concern in this paper is authenticating the image, watermarking for proving ownership is additionally implemented. The method considers the image as two main parts: an inner part and an outer part. The inner and outer parts are divided into non-overlapping blocks. The block size of the inner and outer part are different. The outer blocks have a greater area than the inner blocks so that their watermark-holding capacity is greater, providing enough robustness for semi-fragility. The method is semi-fragile and the watermarked image is authenticated despite the JPEG being compressed to 75% quality. The embedded watermark also survives innocent types of image operations, such as intensity adjustment, histogram equalization and gamma correction. Semi-fragile and selectively fragile authentication is valuable and in high demand specifically because it survives these innocent image operations while detecting ill-intentioned tampering. In this work, we embed a binary watermark into the inner and outer parts of images using a scrambling algorithm, discrete wavelet transform (DWT) and discrete cosine transform (DCT) in the blocks. The proposed methodology has high image quality after watermarking, with a PSNR value of 40.577 , and high quality is also achieved after JPEG compression. The embedding process provides acceptable image quality after tamper attacks, including JPEG compression, Gaussian noise, average filtering, and scaling attacks with PSNR values greater than 29. Experimental results obtained show that the proposed semi-fragile watermarking algorithm is more robust, secure and resistant than other algorithms in the literature.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A Semi-Fragile, Inner-Outer Block-Based Watermarking Method Using Scrambling and Frequency Domain Algorithms

et al. 2023

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“…The evolution of watermarking strategies has witnessed a paradigm shift towards invisible watermarking solutions, wherein the emphasis lies not only on embedding ownership or authentication data covertly but also on preserving the inherent quality and visual fidelity of the images [13]. Concurrently, advancements in quality measurement metrics have emerged as pivotal determinants, facilitating rigorous evaluation, and validation of watermarking techniques [14].…”

Section: Introductionmentioning

confidence: 99%

Enhancing quality measurement for visible and invisible watermarking based on M-SVD and DCT

Kusnawi,

Ipmawati,

Puji Prabowo

2024

Bulletin EEI

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This study introduces an advanced method for evaluating non-blind watermarking quality, leveraging both visible and invisible watermarking techniques grounded in principles of discrete cosine transform (DCT) and modified singular value decomposition (M-SVD). The primary focus is to refine the assessment process of watermarked images by integrating M-SVD, known for its efficacy in measuring image quality and watermarking performance. Results from the M-SVD implementation exhibit a striking resemblance to the original images. The mean squared error (MSE) values for watermarked images range from 0.0003 to 0.0168, while peak signal-to-noise ratio (PSNR) values vary between 42.52 dB and 82.72 dB. These outcomes underscore the potential of DCT and M-SVD techniques in bolstering watermarking processes, especially in invisible watermarking contexts.

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Optimizing the IoT PAYLOAD Encryption Watermarking-Oriented Applying Computational Intelligence and Visual Quality Coding to Improve the Vehicular Speed Controller Platform's Features

Onqani,

Bajit,

Essounaini

et al. 2024

Lecture Notes in Networks and Systems

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Generic Reversible Visible Watermarking via Regularized Graph Fourier Transform Coding

Cited by 21 publications

References 42 publications

A Semi-Fragile, Inner-Outer Block-Based Watermarking Method Using Scrambling and Frequency Domain Algorithms

A Semi-Fragile, Inner-Outer Block-Based Watermarking Method Using Scrambling and Frequency Domain Algorithms

Enhancing quality measurement for visible and invisible watermarking based on M-SVD and DCT

Optimizing the IoT PAYLOAD Encryption Watermarking-Oriented Applying Computational Intelligence and Visual Quality Coding to Improve the Vehicular Speed Controller Platform's Features

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