Dual image-based reversible fragile watermarking scheme for tamper detection and localization

Sahu, Aditya Kumar; Sahu, Monalisa; Patro, Pramoda; Sahu, Gupteswar; Nayak, Soumya Ranjan

doi:10.1007/s10044-022-01104-0

Cited by 32 publications

(6 citation statements)

References 34 publications

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“…However, the security of this scheme needs to be improved since it has no resistance to certain common attacks, such as copy-move. Then, Sahu et al [28] proposed a novel dual image-based reversible fragile watermarking scheme, which embeds two secret bits in each host image pixel using a pixel readjustment strategy to obtain dual watermarked images. Although it can accurately detect and locate the tampering regions from an image, the dual watermarked images need more secret bits to obtain the aforementioned performance.…”

Section: Related Workmentioning

confidence: 99%

Block mapping and dual-matrix-based watermarking for image authentication with self-recovery capability

Li,

Chen,

Chu

et al. 2024

PLoS ONE

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Numerous image authentication techniques have been devised to address the potential security issue of malicious tampering with image content since digital images can be easily duplicated, modified, transformed and diffused via the Internet transmission. However, the existing works still remain many shortcomings in terms of the recovery incapability and detection accuracy with extensive tampering. To improve the performance of tamper detection and image recovery, we present a block mapping and dual-matrix-based watermarking scheme for image authentication with self-recovery capability in this paper. The to-be-embedded watermark information is composed of the authentication data and recovery data. The Authentication Feature Composition Calculation algorithm is proposed to generate the authentication data for image tamper detection and localization. Furthermore, the recovery data for tampered region recovery is comprised of self-recovery bits and mapped-recovery bits. The Set Partition in Hierarchical Trees encoding algorithm is applied to obtain the self-recovery bits, whereas the Rehashing Model-based Block Mapping algorithm is proposed to obtain the mapped-recovery bits for retrieving the damaged codes caused by tampering. Subsequently, the watermark information is embedded into the original image as digital watermarking with the guidance of a dual-matrix. The experimental results demonstrate that comparing with other state-of-the-art works, our proposed scheme not only improves the performance in recovery, but also extends the limitation of tampering rate up to 90%. Furthermore, it obtains a desirable image quality above 40 dB, large watermark payload up to 3.169 bpp, and the effective resistance to malicious attack, such as copy-move and collage attacks.

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Section: Related Workmentioning

confidence: 99%

Block mapping and dual-matrix-based watermarking for image authentication with self-recovery capability

Li,

Chen,

Chu

et al. 2024

PLoS ONE

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show abstract

“…Sahu et al [33] proposed a reversible fragile watermarking methodology for tamper detection. In this method, two secrets are embedded into the cover image for a dual watermarking scheme.…”

Section: Related Workmentioning

confidence: 99%

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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“…Also, several methods have been proposed for achieving secure transmission in telemedicine systems based on wavelet watermarking [ 14 – 17 ]. However, these methods mainly targeted patient identification and authentication, while other methods targeted tamper detection [ 18 , 19 ].…”

Section: Related Workmentioning

confidence: 99%

DMpDP: a Diagnostic Multiple-patient DermoFeature Profile store-and-forward teledermoscopy system

Ashour,

Abd El-Wahab,

Wahba

et al. 2023

Med Biol Eng Comput

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Telehealth demand is rapidly growing along with the necessity of providing wide-scale services covering multiple patients at the same time. In this work, the development of a store-and-forward (SAF) teledermoscopy system was considered. The dermoFeatures profile (DP) was proposed to decrease the size of the original dermoscopy image using its most significant features in the form of a newly generated diagonal alignment to generate a small-sized image DP, which is based on the extraction of a weighted intensity-difference frequency (WIDF) features along with morphological features (MOFs). These DPs were assembled to establish a Diagnostic Multiple-patient DermoFeature Profile (DMpDP). Different arrangements are proposed, namely the horizontally aligned, the diagonal-based, and the sequential-based DMpDPs to support the SAF systems. The DMpDPs are then embedded in a recorded patient-information signal (RPS) using a weight factor β to boost the transmitted patient-information signal. The effect of the different transform domains, β values, and number of DPs within the DMpDP were investigated in terms of the diagnostic classification accuracy at the receiver based on the extracted DPs, along with the recorded signal quality evaluation metrics of the recovered RPS. The sequential-based DMpDP achieved the highest classification accuracy, under − 5 dB additive white Gaussian noise, with a realized signal-to-noise ratio of 98.79% during the transmission of 248 DPs using β = 100, and spectral subtraction filtering. Graphical Abstract

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Dual image-based reversible fragile watermarking scheme for tamper detection and localization

Cited by 32 publications

References 34 publications

Block mapping and dual-matrix-based watermarking for image authentication with self-recovery capability

Block mapping and dual-matrix-based watermarking for image authentication with self-recovery capability

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

DMpDP: a Diagnostic Multiple-patient DermoFeature Profile store-and-forward teledermoscopy system

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