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Soft Computing

09-03-2023 | Focus

A hybrid multimedia image encryption technique using singular value decomposition-linear sparsity regularization (SVD-LSR)

Authors: M. Hema, S. Prayla Shyry

Published in: Soft Computing

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Abstract

The benefits and drawbacks of the SVD-based multimedia image watermarking system are discussed in this paper. To get a suitable video frame for embedding a watermark in this study, key frame selection is initially affected to the video sequence. Prior to embedding, the grayscale watermark image is distorted using the Fibonacci–Lucas image transformation. Instead of using Singular Value Matrixes (SVM), the suggested approach embeds the key elements of the watermark picture into host image. This work is an effective hybrid watermarking technique for protecting the copyright of multimedia images. Singular Value Decomposition, Discrete Cosine Transform, and Discrete Wavelet Transform are combined in this method (SVD). The processed multimedia image needs to be secured. The method suggested in this paper provides more security than most of the methods suggested in the survey. Experimental inferences have verified that the avalanche effect of the suggested architecture is effective.

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Metadata
Title
A hybrid multimedia image encryption technique using singular value decomposition-linear sparsity regularization (SVD-LSR)
Authors
M. Hema
S. Prayla Shyry
Publication date
09-03-2023
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-023-07937-z

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