Semi-fragile watermarking scheme based on perceptual hash function (PHF) for image tampering detection

Rhayma, Hanen; Makhloufi, Achraf; Hamam, Habib; Hamida, Ahmed Ben

doi:10.1007/s11042-021-10886-0

Cited by 11 publications

(1 citation statement)

References 23 publications

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“…Semi-fragile watermarks (Rhayma et al 2021) are very sensitive to malicious attacks and robust to some traditional image operations, such as JPEG compression, shearing and filtering, etc., which are mainly used to select authentication and protect general image content. However, in some applications, even a very slight modification may result in substantial differences for some digital media with extremely accurate requirements, such as documents, medical images and legal evidence images.…”

Section: Introductionmentioning

confidence: 99%

Digital watermarks for videos based on a locality-sensitive hashing algorithm

Sun¹,

Srivast

2023

Preprint

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Sensitive information in images is leaked during attacks, resulting in the malicious acquisition of personal privacy. To improve the robustness of attacking defence for video images, a digital watermarking algorithm based on locality-sensitive hashing (LSH) is designed. The video signal was decomposed using a one-dimensional wavelet transform. According to the Yeung Mintzer (Y-M) algorithm, a marker watermark W1 was embedded in the low-frequency subband to identify image tampering. The data string of hash function values and the exclusive OR (XOR) result of identification watermark W2 were embedded into the HH high-frequency subband, which was used to identify and counter the pseudo-authentication attacks such as collage and Vector Quantization(VQ). The singular value decomposition (SVD) algorithm was used to decompose the hash-mapped watermark and adaptively adjust the embedding strength of the watermark. The position-sensitive hash algorithm proposed has good invisibility for embedding digital watermarks into images, with an average accuracy of approximately 97% for feature matching of digital images. The PSNR value of the image embedded with the watermark is approximately 49 dB. At the 50th minute of the experiment, the regulatory factor value of the research method was 0.3. Under different attack modes, the correlation coefficient between the watermark extracted by this method and the original watermark image is greater than 0.85. Due to the low compression quality of JPGE, the correlation coefficient between the watermark and the initial watermark is greater than 0.6, and its error rate is less than 0.10bit.

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Section: Introductionmentioning

confidence: 99%

Digital watermarks for videos based on a locality-sensitive hashing algorithm

Sun¹,

Srivast

2023

Preprint

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Digital Watermarks for Videos Based on a Locality-Sensitive Hashing Algorithm

Sun,

Srivastava

2023

Mobile Netw Appl

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Robust color image watermarking using multiple fractional-order moments and chaotic map

Hosny

Darwish

2022

Multimed Tools Appl

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Robust watermarking is an effective method and a promising solution for securing and protecting the copyright of digital images. Moments and moment invariants have become popular tools for robust watermarking due to their geometric invariance and favorable capability of image description. Many moments-based robust watermarking schemes have been proposed. However, there is a challenging problem of these schemes that should be addressed. One of these problems is to improve both imperceptibility and robustness. In contrast, the other problem, most of these schemes used inefficient, traditional computation methods of the moments, resulting in an inaccurate and inefficient performance of the watermarking schemes. To overcome these challenges, in this paper, we propose a novel robust color image-watermarking algorithm based on new multiple fractional multi-channel orthogonal moments, fractional-order exponent moments (MFrEMs), fractional-order polar harmonic transforms (MFrPHTs), and fractional-order radial harmonic Fourier moments (MFrRHFMs). Firstly, highly accurate fractional new multi-channel orthogonal moments are computed for the host color images. Then, more stable and accurate coefficients of fractional new multi-channel orthogonal moments are selected. Finally, a robust color image watermarking approach for multiple watermarks images is proposed based on MFrEMs, MFrPHTs, and MFrRHFMs using a 1D Sine chaotic map. The experimental results demonstrate that the proposed approach provides robustness against various attacks and better imperceptibility than the existing methods.

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Semi-fragile watermarking scheme based on perceptual hash function (PHF) for image tampering detection

Cited by 11 publications

References 23 publications

Digital watermarks for videos based on a locality-sensitive hashing algorithm

Digital watermarks for videos based on a locality-sensitive hashing algorithm

Digital Watermarks for Videos Based on a Locality-Sensitive Hashing Algorithm

Robust color image watermarking using multiple fractional-order moments and chaotic map

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