A Novel Public Key Robust Watermarking Method for Still Images Based on Intentional Permutation Based on DCT and DWT

Luyen, Cao Thi; Cuong, Nguyen Hieu; At, Pham Van

doi:10.1109/rivf.2019.8713679

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…In Table 1 [41] (see appendix) a comprehensive overview of DCT and DWT-based watermarking schemes is presented, emphasizing key parameters crucial for comparative analysis. To facilitate a nuanced assessment, several essential factors such as robustness, imperceptibility, computational complexity, and capacity have been considered.…”

Section: Comparison and Discussionmentioning

confidence: 99%

“…This approach extracts lowfrequency components for precise DCT-based watermark embedding, offering high resilience to conventional attacks with an embedding strength of 0.1 and a PSNR value of 57.1769 dB, promising unparalleled protection for color holographic watermarks in carrier images. Luyen et al [41] propose an asymmetric watermarking method using normal distribution-based public keys and intentionally permuted subsets for secret keys, embedded via DCT and DWT. Their approach showcases remarkable robustness with a PSNR value of 44.1226 and good watermarking quality exceeding 40 dB, surpassing related work in watermarking quality.…”

Section: Literature Reviewmentioning

confidence: 99%

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In-depth exploration of digital image watermarking with discrete cosine transform and discrete wavelet transform

Apu Hosen,

Hoshen Moz,

Shalauddin Kabir

et al. 2024

IJEECS

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Digital image watermarking is a crucial technique used to protect the integrity and ownership of digital images by embedding imperceptible watermarks into the image content. This review concentrates on the utilization of discrete cosine transform (DCT) and discrete wavelet transform (DWT) in digital image watermarking schemes. DCT, widely used in image compression like JPEG, is an attractive choice for watermarking, modifying DCT coefficients with minimal impact on image quality. On the other hand, DWT offers multiresolution representation, enabling better localization and robustness against attacks. DWT-based methods use wavelet coefficients to embed watermarks in specific frequency bands or image regions. The review examines the strengths and weaknesses of DCT and DWT in digital image watermarking, exploring algorithms and approaches proposed in the literature. It also addresses challenges like attacks, synchronization, and robustness to image processing. Additionally, a comparative analysis of DCT and DWT-based methods considers imperceptibility, robustness, capacity, and computational complexity. By offering valuable insights, this review aids researchers and practitioners in implementing secure and efficient digital image watermarking solutions.

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Section: Comparison and Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

In-depth exploration of digital image watermarking with discrete cosine transform and discrete wavelet transform

Apu Hosen,

Hoshen Moz,

Shalauddin Kabir

et al. 2024

IJEECS

View full text Add to dashboard Cite

show abstract

“…The authors of References 313‐315 used the combination of DCT‐DWT approaches for securing digital images. Whereas the authors used, 203,316,317 used DCT for image security.…”

Section: Watermarking For Securing Uavs Applicationsmentioning

confidence: 99%

A survey on recent optimal techniques for securing unmanned aerial vehicles applications

Syed

Gupta

Alsamhi

et al. 2020

Trans Emerging Tel Tech

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Unmanned aerial vehicles (UAVs) or Drones technology has a huge potential for supporting different efficient solutions for the smart applications in our world. The applications include smart things, smart transportation, smart cities, smart healthcare, smart personal care, smart house, smart industries, and so on. Due to the sensitive applications of UAVs, the security has become a major concern, and therefore, efficient techniques are required to protect captured data from hackers and the fictitious activities from illegitimate users. Machine learning (ML) techniques play a vital role in improving UAVs' security intelligently, while blockchain is recent technology for decentralized UAVs and security. Furthermore, watermarking guarantees digital media to be authenticated, protected, and copyright. Therefore, we provide a comprehensive survey of optimal techniques, which are used for securing UAVs applications in terms of blockchain, ML, and watermarking. Furthermore, we introduce each technique with the advantages and suitably used for securing UAVs collaboration applications. This survey contributes to a better understanding of the blockchain, ML, and watermarking techniques for securing UAVs and sheds new light on challenges and opportunities on subject applications.

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A Novel Public Key Robust Watermarking Method for Still Images Based on Intentional Permutation Based on DCT and DWT

Cited by 2 publications

References 10 publications

In-depth exploration of digital image watermarking with discrete cosine transform and discrete wavelet transform

In-depth exploration of digital image watermarking with discrete cosine transform and discrete wavelet transform

A survey on recent optimal techniques for securing unmanned aerial vehicles applications

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