A Secured and Robust Medical Image Watermarking Approach for Protecting Integrity of Medical Images

Khare, Priyank; Srivastava, Vinay Kumar

doi:10.1002/ett.3918

Cited by 44 publications

(31 citation statements)

References 56 publications

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“…Apart from the promising fake detection approaches listed above, researchers working on the topic of face manipulation could incorporate mechanisms that intentionally include imperceivable elements (watermarks) into the manipulated images/videos in order to make the detection easier [67,68]. While such idea does not address the general problem of detecting face manipulations, it could set the bar for adversaries higher and make sharing face manipulation techniques (with legitimate use cases) with the research community less challenging.…”

Section: Promising Approachesmentioning

confidence: 99%

Future Trends in Digital Face Manipulation and Detection

Tolosana

Rathgeb

Vera-Rodríguez

et al. 2022

Handbook of Digital Face Manipulation and Detection

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Recently, digital face manipulation and its detection have sparked large interest in industry and academia around the world. Numerous approaches have been proposed in the literature to create realistic face manipulations, such as DeepFakes and face morphs. To the human eye manipulated images and videos can be almost indistinguishable from real content. Although impressive progress has been reported in the automatic detection of such face manipulations, this research field is often considered to be a cat and mouse game. This chapter briefly discusses the state of the art of digital face manipulation and detection. Issues and challenges that need to be tackled by the research community are summarized, along with future trends in the field.

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Section: Promising Approachesmentioning

confidence: 99%

Future Trends in Digital Face Manipulation and Detection

Tolosana

Rathgeb

Vera-Rodríguez

et al. 2022

Handbook of Digital Face Manipulation and Detection

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show abstract

“…Potency of the propounded method can be seen in Table 6 where it is compared with the other medical watermarking methods like [ 16 , 17 , 24 , 31 , 33 , 34 , 36 , 38 ]. From the comparison results, it is clear that the propounded method has competed with the remaining techniques in terms of robustness.…”

Section: Resultsmentioning

confidence: 99%

“…From the comparison results, it is clear that the propounded method has competed with the remaining techniques in terms of robustness. In Table 7 , the imperceptibility of the watermarking schemes are compared with the proposed scheme, from all the methods the proposed method imperceptibility is high except for [ 16 ] method and in comparison with [ 24 ] proposed method results are better for noise attacks, and for all the remaining attacks they are almost similar. Graphical comparison (Same attacks of Table 6 ) of propounded method with [ 16 , 33 ] is shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

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Fingerprint-based robust medical image watermarking in hybrid transform

Vaidya

2022

Vis Comput

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To protect the medical images integrity, digital watermark is embedded into the medical images. A non-blind medical image watermarking scheme based on hybrid transform is propounded. In this paper, fingerprint of the patient is used as watermark for better authentication, identifying the original medical image and privacy of the patients. In this scheme, lifting wavelet transform (LWT) and discrete wavelet transform (DWT) are utilized for amplifying the watermarking algorithm. The scaling and embedding factors are calculated adaptively with the help of Local Binary Pattern values of the host medical image to achieve better imperceptibility and robustness for medical images and fingerprint watermark, respectively. Two-level decomposition is done where for the first level LWT is utilized and for the second level decomposition DWT is utilized. At the extraction side, non-blind recovery of fingerprint watermark is performed which is similar to the embedding process. The propounded design is implemented on various medical images like Chest X-ray, CT scan and so on. The propounded design provides better imperceptibility and robustness with the combination of LWT–DWT. The result analysis proves that the proposed fingerprint watermarking scheme has attained best results in terms of robustness and authentication with different medical image attacks. Peak Signal to Noise Ratio and Normalized Correlation Coefficient metrics are used for evaluating the proposed scheme. Furthermore, superior results are obtained when compared to related medical image watermarking schemes.

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“…The primary applications of Watermarking are copyright protection, finger‐printing, and ownership identifications. It may be further used to protect integrity of medical images in telemedicine applications 7 . While in Steganography, the message usually is not related to the object itself, rather it mainly deals with some message which senders secretly send to the intended receivers.…”

Section: Introductionmentioning

confidence: 99%

Application of Lah transform for security and privacy of data through information hiding in telecommunication

Ghosal¹,

Mukhopadhyay

Hossain

et al. 2020

Trans Emerging Tel Tech

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Due to rapid growth of digital communication attributed to advancement of Internet technologies, at every time instant huge amount of multimedia information is created and transmitted on the Internet. However, ownership identification, copyright violation, and identity theft are proving as the serious concerns because of the malicious attacks or hacking of open information. Attackers can alter or delete the information, and claim the ownership or prevent the receiver to get the data. Hence, researchers try to address such challenges. One such effort is concerned with multimedia data hiding through Steganography. In this article, a polynomial sequence generator called Lah Transform (LhT) is applied for developing a Steganography method. LhT generates an integer polynomial sequence in coefficient form by evaluating the pixel values using addition and multiplication. Initially, the cover image is partitioned into nonoverlapping b‐pixel groups (where, b = 3 or 4) which in succession are converted into transform domain using LhT in row‐major order. Secret bits are embedded into the LhT coefficients in varying proportions to achieve variable payload. Coefficient adjustment followed by the embedding process ensures minimum quality distortion. Inverse LhT is applied to regenerate b‐pixel groups in the spatial domain. Results assure that incongruity between the cover pixels and stego‐pixels rises as the value of b increases. Hence, to achieve a high payload, smaller values of b are chosen. The proposed method yields higher peak signal to noise ratio values and payload compared to some recent methods found in the literature. Code of our method is available here.

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A Secured and Robust Medical Image Watermarking Approach for Protecting Integrity of Medical Images

Cited by 44 publications

References 56 publications

Future Trends in Digital Face Manipulation and Detection

Future Trends in Digital Face Manipulation and Detection

Fingerprint-based robust medical image watermarking in hybrid transform

Application of Lah transform for security and privacy of data through information hiding in telecommunication

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