Local feature based self-embedding fragile watermarking scheme for tampered detection and recovery utilizing AMBTC with fuzzy logic

Jana, Manasi; Jana, Biswapati; Joardar, Subhankar

doi:10.1016/j.jksuci.2021.12.011

Cited by 16 publications

(7 citation statements)

References 35 publications

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“…The state-of-the-art techniques along with evaluation parameters, pros, and cons of classical watermarking techniques for medical image watermarking have been presented in Table 5 [ 14 , 25 , 27 , 33 , 47 , 48 , 56 , 66 , 71 , 86 ].…”

Section: State Of the Art Watermarking Techniques For Medical Imagementioning

confidence: 99%

“… • The technique has not been checked for recovery of tampers in the images. Fragile Jana et al [ 33 ] Self-generated watermark AMBTC and Fuzzy logic PSNR, MSE, SSIM, TDR, TRR,TR • Categorizes the blocks as smooth and complex. • It detects, localizes, and recovers the tamper.…”

Section: State Of the Art Watermarking Techniques For Medical Imagementioning

confidence: 99%

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Advances in medical image watermarking: a state of the art review

Gull

Parah

2023

Multimed Tools Appl

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Watermarking has been considered to be a potent and persuasive gizmo for its application in healthcare setups that work online, especially in the current COVID-19 scenario. The security and protection of medical image data from various manipulations that take place over the internet is a topic of concern that needs to be addressed. A detailed review of security and privacy protection using watermarking has been presented in this paper. Watermarking of medical images helps in the protection of image content, authentication of Electronic Patient Record (EPR), and integrity verification. At first, we discuss the various prerequisites of medical image watermarking systems, followed by the classification of Medical Image Watermarking Techniques (MIWT) that include state-of-the-art. We have classified MIWT’s into four broader classes for providing better understanding of medical image watermarking. The existing schemes have been presented along with their cons so that the reader may be able to grasp the shortcomings of the technique in order to develop novel techniques proving the inevitability of the presented review. Further, various evaluation parameters along with potential challenges pertaining to medical image watermarking systems have been discussed to provide a deep insight into this research area.

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Section: State Of the Art Watermarking Techniques For Medical Imagementioning

confidence: 99%

Section: State Of the Art Watermarking Techniques For Medical Imagementioning

confidence: 99%

Advances in medical image watermarking: a state of the art review

Gull

Parah

2023

Multimed Tools Appl

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“…They got a good peak signal-to-noise ratio (PSNR) and better attack resistance. Jana et al 11 used the similarity matrix concept to classify a group as either smooth or complex. In a smooth group, WBs are created from eight MSBs of the pixels, and the group mean is considered as RBs.…”

Section: Introductionmentioning

confidence: 99%

“…They got a good peak signal-to-noise ratio (PSNR) and better attack resistance. Jana et al 11 . used the similarity matrix concept to classify a group as either smooth or complex.…”

Section: Introductionmentioning

confidence: 99%

Image watermarking based on remainder value differencing and extended Hamming code

Gottimukkala,

Kumar,

Dash

et al. 2023

J. Electron. Imag.

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Due to the availability of various photo editing tools, intruders can tamper with an image very easily. So, various watermarking and tamper detection approaches have been proposed by researchers. Basically, tamper detection techniques focus on embedding the watermark, extracting the water mark, and identifying the tampered regions. But it is very important that the tampered pixels should also be corrected. We bring forward an image watermarking technique for tamper detection and correction using remainder value differencing (RVD) and extended Hamming code (EHC). It operates on a pixel group of size 2 × 2. Watermark bits (WBs) are generated from four most significant bits of the pixels in a pixel group by EHC and concealed in four lower bit planes by the principle of RVD. The WBs are extracted at the receiver along with the identification of tampered pixels. The tampered pixels are corrected by the developed correction logic. As the principle of RVD is used, precautions are taken to avoid the fall-off boundary problem. The efficacy of this technique is accessed through various quality metrics. It is noted that it performs better than the existing techniques. The recorded peak signal-to-noise ratio value is 45.49 dB with structural similarity value 0.9889. The tampered pixels are identified and corrected.

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“…Meanwhile, the active detection process is carried out more simply through embedding using a watermarking method and perceptual image hash [13]. It is generally used to detect the local tampered region of the image [14]. Active detection is capable of detecting multiple tampering points on an image [15] and has a high level of tampering tolerance [16], thus making it suitable for use in most cases of image manipulation.…”

mentioning

confidence: 99%

Fragile watermarking for image authentication using dyadic walsh ordering

Adi,

Wibowo,

Aryotejo

et al. 2023

Int. J. Adv. Intell. Informatics

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A digital image is subjected to the most manipulation. This is driven by the easy manipulating process through image editing software which is growing rapidly. These problems can be solved through the watermarking model as an active authentication system for the image. One of the most popular methods is Singular Value Decomposition (SVD) which has good imperceptibility and detection capabilities. Nevertheless, SVD has high complexity and can only utilize one singular matrix S, and ignore two orthogonal matrices. This paper proposes the use of the Walsh matrix with dyadic ordering to generate a new S matrix without the orthogonal matrices. The experimental results showed that the proposed method was able to reduce computational time by 22% and 13% compared to the SVD-based method and similar methods based on the Hadamard matrix respectively. This research can be used as a reference to speed up the computing time of the watermarking methods without compromising the level of imperceptibility and authentication.

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Local feature based self-embedding fragile watermarking scheme for tampered detection and recovery utilizing AMBTC with fuzzy logic

Cited by 16 publications

References 35 publications

Advances in medical image watermarking: a state of the art review

Advances in medical image watermarking: a state of the art review

Image watermarking based on remainder value differencing and extended Hamming code

Fragile watermarking for image authentication using dyadic walsh ordering

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