A robust video watermarking scheme using sparse principal component analysis and wavelet transform

Shankar, Thirunarayanan; Yamuna, G.

doi:10.1504/ijcse.2017.087409

Cited by 3 publications

(4 citation statements)

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“…Transformation methods are used to translate the host image/video into the frequency domain. The watermark information is then stored using the modified domain coefficients [20][21][22][23][24]. Finally, the inverse transform is used to create the watermarked image/video.…”

Section: Frequency Domainmentioning

confidence: 99%

A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT

2023

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Watermarking is widely used in multimedia preservation and communication, which comprises, and is therefore not limited to, data security and validation. Security, readability, imperceptibility, and resilience are some of the key advantages of this technology. However, there are still certain issues that need to be addressed, such as the ability to withstand a variety of assaults without substantially affecting the quality and value of embedded data. Based on its operational domain, the watermarking technology may be divided into two groups: spatial and frequency watermarking. An index mapping-based watermarking approach for copyright protection of multi-media color videos is presented in this paper. We offer a hybrid discrete wavelet transform and discrete cosine transform (DCT) watermarking algorithm for digital video watermarking of a color video watermark. Peak signal to noise ratio (PSNR), similarity structure index measure (SSIM), have been used to analyze the distortion produced by watermarking. It is suggested that the proposed video watermarking method provides greater imperceptibility in conjunction with each other with the human visual system and it offers higher robustness against different attacks.

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Section: Frequency Domainmentioning

confidence: 99%

A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT

2023

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“…This method is the least complicated, however it has poor security. This method is useful for steganalysis applications but not watermarking applications owing to its weak resilience (Mostafa et al 2009).…”

Section: Least Significant Bit Techniquementioning

confidence: 99%

“…Following the watermark has been implanted, the reverse continuous transformation is performed to the frames to get the contained images. Retrieval of watermarks is ordinarily carried out using the association approach or on occasion by using another technique (Mostafa et al 2009).…”

Section: Discrete Wavelet Transformmentioning

confidence: 99%

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An Extensive Survey on Different Video Watermarking Methods: A Comparative Study

Massey¹,

Mishra²,

Mishra³

et al. 2023

Preprint

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There has been a significant surge in web-based data interchange and digital entertainment consumption. The growing interest in digital watermarking over the last decade is undoubtedly attributable to the growing necessity for copyright protection. The use of video watermarking in copy control, transmission surveillance, fingerprints, video authentication, and copyright is growing exponentially. The primary characteristics of information concealment are capacity, safety, and resilience. Typically, video watermarking techniques prioritize resilience. In this article, we explore the concept of different watermarking techniques as well as the components necessary to create a watermarked that is effective for preventing piracy an important applications, and also focusing on the many areas of video watermarking approaches.

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Robust digital image watermarking using cuckoo search optimization and probabilistic neural network

Gupta,

Kishore

2023

Multimed Tools Appl

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A robust video watermarking scheme using sparse principal component analysis and wavelet transform

Cited by 3 publications

References 0 publications

A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT

A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT

An Extensive Survey on Different Video Watermarking Methods: A Comparative Study

Robust digital image watermarking using cuckoo search optimization and probabilistic neural network

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