Fragile Watermarking Based on LBP for Blind Tamper Detection in Images

Zhang, Heng; Wang, Chengyou; Zhou, Xiao

doi:10.3745/jips.03.0070

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…In the spatial domain, the watermark information bits are embedded straight into the host image pixel values using various approaches like modification of Least Significant Bits (LSBs) [9][10][11][12][13] or Intermediate Significant Bits (ISBs) [14] of the host image, patchwork approach, Local Binary Pattern (LBP) approach [15], histogram modification approach [16,17], and approaches based on correlation [18][19][20] and spread spectrum [21][22][23]. The crucial characteristics of the watermarking system, imperceptibility, capacity, and robustness, have been perfectly balanced by spatial domain techniques.…”

Section: Spatial Domain Algorithmsmentioning

confidence: 99%

Exploring Cellular Automata Learning: An Innovative Approach for Secure and Imperceptible Digital Image Watermarking

Khurshid Bhat,

Qadir,

Neshat

et al. 2024

Preprint

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As technology and multimedia production have advanced, there has been a significant rise in attacks on digital media, resulting in duplicated, fraudulent, and altered data and the infringement of copyright laws. This paper presents a robust and secure digital image watermarking technique that has been implemented in the spatial domain and exploits the erratic and chaotic behaviour of the powerful elementary cellular automata rule-30. The crucial characteristics of the watermarking system, i.e., imperceptibility, capacity, and robustness, have been perfectly balanced by the suggested blind watermarking technique. In this approach, prior to embedding, the grayscale watermark image is downsized to its two Most Significant Bits (MSBs). Then, the 2-MSBs watermark is encrypted using an ECA rule-30 so as to level up the security attribute of the system. Then, the host image is scrambled using ECA rule-30 to distribute the watermark pixels throughout the host image and thus achieve the highest robustness against geometrical attacks. Finally, the encrypted watermark data is embedded into the scrambled host image using the ECA rule-30-based embedding key. The proposed method performs better in terms of imperceptibility, capacity, and robustness when compared to several systems with similar competencies. The simulation's findings demonstrate strong imperceptibility as evaluated by the Peak Signal-to-Noise Ratio (PSNR), which has an average value of 58.3735 dB and a high payload. The experimental outcomes, observed across a diverse range of standardized attack scenarios, unequivocally establish the ascendancy of the proposed algorithm over competing methodologies in the realm of image watermarking.

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Section: Spatial Domain Algorithmsmentioning

confidence: 99%

Exploring Cellular Automata Learning: An Innovative Approach for Secure and Imperceptible Digital Image Watermarking

Khurshid Bhat,

Qadir,

Neshat

et al. 2024

Preprint

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“…Zhang et al [13] present an improved fragile watermarking method based on a local binary pattern (LBP) for blind tamper location in images. In this method, a binary watermark is generated by the LBP operator, which is often utilized in face identification and texture analysis.…”

Section: Related Workmentioning

confidence: 99%