2023
DOI: 10.1007/s00034-023-02479-z
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An Optimized Dual Image Watermarking Scheme based on Redundant DWT and Randomized SVD with Henon Mapping Encryption

Ranjana Dwivedi,
Divyanshu Awasthi,
Vinay Kumar Srivastava
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Cited by 10 publications
(2 citation statements)
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“…SVD decomposes a matrix (image) into three other matrices, allowing us to analyze its properties and extract important information. The SVD of an image matrix ๐ด with ๐‘ ร— ๐‘ of size can be described as (Dwivedi et al, 2023):…”
Section: Singular Value Decompositionmentioning
confidence: 99%
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“…SVD decomposes a matrix (image) into three other matrices, allowing us to analyze its properties and extract important information. The SVD of an image matrix ๐ด with ๐‘ ร— ๐‘ of size can be described as (Dwivedi et al, 2023):…”
Section: Singular Value Decompositionmentioning
confidence: 99%
“…Subsequently, the watermark is inserted into the optimal range using a confidential key. In another study (Dwivedi et al, 2023). they present an optimized image watermarking approach that leverages MRFO (a specific optimization method), RDWT (Redundant Discrete Wavelet Transform), RSVD (Randomized Singular Value Decomposition), and Henon mapping encryption within the YCbCr color space.…”
mentioning
confidence: 99%