2017
DOI: 10.1002/dac.3478
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Efficient hybrid watermarking schemes for robust and secure 3D‐MVC communication

Abstract: Digital watermarking is a promising and efficient methodology for protecting the copyright of the transmitted multimedia data. Three-dimensional videos (3DVs) are transmitted and stored in the form of compressed information.Thus, there is a great need for compressed 3DV watermarking. This paper presents 2 proposed hybrid watermarking schemes for securing the 3DV transmission. The first watermarking scheme is the homomorphic transform-based singular value decomposition in discrete wavelet transform domain. The … Show more

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Cited by 35 publications
(26 citation statements)
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References 28 publications
(34 reference statements)
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“…In addition, these algorithms embed watermarks by modifying videos, which will decrease the videos' quality. With the development of three-dimensional videos (3DVs), some scholars have begun to study copyright protection for 3DVs [32], [33]. El-Shafai et al [32] proposed two hybrid watermarking schemes to secure the copyright of 3DVs.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, these algorithms embed watermarks by modifying videos, which will decrease the videos' quality. With the development of three-dimensional videos (3DVs), some scholars have begun to study copyright protection for 3DVs [32], [33]. El-Shafai et al [32] proposed two hybrid watermarking schemes to secure the copyright of 3DVs.…”
Section: Related Workmentioning
confidence: 99%
“…With the development of three-dimensional videos (3DVs), some scholars have begun to study copyright protection for 3DVs [32], [33]. El-Shafai et al [32] proposed two hybrid watermarking schemes to secure the copyright of 3DVs. One is the homomorphic transform-based SVD in the DWT domain, and the other is the three-level discrete stationary wavelet transform in the discrete cosine transform (DCT) domain.…”
Section: Related Workmentioning
confidence: 99%
“…There are several chaotic maps in the state-of-the-art works, such as Arnold map, Logistic map, and Cat map [12][13][14][15][16][17][18][19][20][21]. Various image security and image cryptography techniques based on chaos systems have been presented in [22][23][24][25][26][27]. The main disadvantage of the traditional chaotic-mapbased cryptography procedures is that they depend on lower-order chaos functions.…”
Section: Introductionmentioning
confidence: 99%
“…However, they require full or partial prior knowledge of the PU signal or noise power that may be unavailable in some practical applications like military applications. In this work, we use the latest advances in machine learning (ML) 5 to learn and classify the received signals. Deep learning (DL) is a type of ML in which a model learns to perform classification tasks directly from images.…”
Section: Introductionmentioning
confidence: 99%