Digital hologram watermarking by embedding Fresnel-diffracted watermark data

Lee, Yoon-Hyuk; Seo, Young-Ho; Kim, Dong-Wook

doi:10.1117/1.oe.58.3.035102

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…At present, many scholars have proposed many solutions for information security technologies, such as digital watermarking technology, authentication technology, and access control technology [22][23][24][25][26][27][28][29][30]. However, these technologies all have one thing in common, which is that they need to modify the whole system or redevelop a new system to realize its functions; this, in turn, leads to problems such as high costs or long cycle times.…”

Section: Related Workmentioning

confidence: 99%

A Chunked and Disordered Data Privacy Protection Algorithm: Application to Resource Platform Systems

Zhang

Chen

et al. 2023

Applied Sciences

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This paper provides a systematic analysis of existing resource platforms, evaluating their advantages and drawbacks with respect to data privacy protection. To address the privacy and security risks associated with resource platform data, we propose a novel privacy protection algorithm based on chunking disorder. Our algorithm exchanges data within a specific range of chunk size for the position and combines the chunked data with the MD5 value in a differential way, thus ensuring data privacy. To ensure the security of the algorithm, we also discuss the importance of preventing client and server decompilation during its implementation. The findings of our experiments are as follows. Our proposed privacy-preserving algorithm is extremely secure and easy to implement. Our algorithm has a significant avalanche effect, maintaining values of 0.61–0.85, with information entropy being maintained at 4.5–4.9. This indicates that our algorithm is highly efficient without compromising data security. Furthermore, our algorithm has strong encryption and decryption time stability. The key length can be up to 594 bits, rendering it challenging to decrypt. Compared with the traditional DES algorithm, our algorithm has better security under the same conditions and approaches the levels of security offered by the AES and RC4 algorithms.

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Section: Related Workmentioning

confidence: 99%

A Chunked and Disordered Data Privacy Protection Algorithm: Application to Resource Platform Systems

Zhang

Chen

et al. 2023

Applied Sciences

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“…As the experiments, we considered various attacks for both pixel-value changing attacks and geometric attacks. For all the considered attacks which do not ruin the host data too much to be useful, the extracted watermarks were apparently recognizable even though the PSNR values to the original watermark data seemed quite bad [ 11 ].…”

Section: Previos Workmentioning

confidence: 99%

“…In the second method, a block-based discrete cosine transform was applied to the hologram, and the edge map was extracted to find the position to embed the watermark [ 10 ]. Recently, we presented a method of making a hologram into a 2D diffraction pattern using the characteristic of Fresnel transform and embedding a watermark using Fresnel transform and convergence of traveling waves [ 11 ]. In another recent study, Zhou et al proposed a method to embed a watermark by finding a spatiotemporal edge by using both spatial and temporal continuity as a target for holographic video [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Digital Hologram Watermarking Based on Multiple Deep Neural Networks Training Reconstruction and Attack

Kang

Lee

Choi

et al. 2021

Sensors

Self Cite

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This paper proposes a method to embed and extract a watermark on a digital hologram using a deep neural network. The entire algorithm for watermarking digital holograms consists of three sub-networks. For the robustness of watermarking, an attack simulation is inserted inside the deep neural network. By including attack simulation and holographic reconstruction in the network, the deep neural network for watermarking can simultaneously train invisibility and robustness. We propose a network training method using hologram and reconstruction. After training the proposed network, we analyze the robustness of each attack and perform re-training according to this result to propose a method to improve the robustness. We quantitatively evaluate the results of robustness against various attacks and show the reliability of the proposed technique.

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“…Encrypted images, digital holograms, and full phase images have been used in the watermarking scheme to enhance the security of contents [4,[38][39][40][41][42][43]. Various watermarking schemes with different architectures have been reported in the literature, such as digital watermarking using GT, FRT, computational ghost imaging, joint FrT correlator, DCT, among others [44][45][46][47][48][49][50].…”

Section: Introductionmentioning

confidence: 99%

Asymmetric multi-image encoding and hiding scheme with structured fingerprint phase masks using gyrator transform and phase-shifting digital holography

Kumar Rao,

Nishchal

2024

J. Opt.

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We propose a novel technique for multi-image encryption and hiding scheme under optical asymmetric frame work using structured fingerprint phase masks in the gyrator transform domain and three-step phase-shifting digital holography. A structured fingerprint phase mask contains the unique features of fingerprint and structured phase of optical vortex beam, which provides higher security in the cryptosystem. In order to perform the encryption of multiple images, gyrator transform based phase truncation and phase reservation technique has been used in the first level of security whereas three step phase-shifting digital holography has been used to obtain the final ciphertext. This ciphertext is embedded in the host image to perform the watermarking process. In this process, the host is further decomposed into three parts in which anyone from the last two parts can be used for watermark embedding whereas first part is stored as key. The use of polar decomposition in the watermarking process provides additional layer for security. Numerical simulation and experimental results have been presented to support the proposed scheme.

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Digital hologram watermarking by embedding Fresnel-diffracted watermark data

Cited by 8 publications

References 15 publications

A Chunked and Disordered Data Privacy Protection Algorithm: Application to Resource Platform Systems

A Chunked and Disordered Data Privacy Protection Algorithm: Application to Resource Platform Systems

Digital Hologram Watermarking Based on Multiple Deep Neural Networks Training Reconstruction and Attack

Asymmetric multi-image encoding and hiding scheme with structured fingerprint phase masks using gyrator transform and phase-shifting digital holography

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