Singular Values Decomposition and Lifting Wavelet Transform for Speech Signal Embedding into Digital Image
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Published:2019-02-28
Issue:2
Volume:12
Page:138-151
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ISSN:2352-0965
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Container-title:Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)
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language:en
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Short-container-title:EEENG
Author:
Talbi Mourad1, Bouhlel Med Salim2
Affiliation:
1. Laboratory of Semiconductors, Nanostructures and Advanced Technology, Center of Researches and Technologies of Energy of Borj Cedria, Tunis, Tunisia 2. Sciences Electroniques, Technologie de l'Information et Télécommunications, (SETIT), Sfax, Tunisia
Abstract
Background:
In this paper, we propose a secure image watermarking technique which is applied
to grayscale and color images. It consists in applying the SVD (Singular Value Decomposition) in the Lifting
Wavelet Transform domain for embedding a speech image (the watermark) into the host image.
Methods:
It also uses signature in the embedding and extraction steps. Its performance is justified by
the computation of PSNR (Pick Signal to Noise Ratio), SSIM (Structural Similarity), SNR (Signal to
Noise Ratio), SegSNR (Segmental SNR) and PESQ (Perceptual Evaluation Speech Quality).
Results:
The PSNR and SSIM are used for evaluating the perceptual quality of the watermarked image
compared to the original image. The SNR, SegSNR and PESQ are used for evaluating the perceptual
quality of the reconstructed or extracted speech signal compared to the original speech signal.
Conclusion:
The Results obtained from computation of PSNR, SSIM, SNR, SegSNR and PESQ show
the performance of the proposed technique.
Publisher
Bentham Science Publishers Ltd.
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Reference23 articles.
1. Sun R, Sun H, Yao T. 6th International Conference on Signal Processing, A SVD and quantization based semifragile watermarking technique for image authentication In, Beijing, China, pp. 1592-1595, 2002 2. Chang CC, Tsai PY, Lin MH. Pattern Recognit Lett, SVD-based digital image watermarking scheme.,, 2005, 26,, 1577-1586 3. Shieh JM, Lou DC, Chang MC. Comput Stand Interfaces, A semi-blind digital watermarking scheme based on singular value decomposition.,, 2006, 28,, 428-440 4. Liu R, Tan T. IEEE Trans Multimed, An SVD-based watermarking scheme for protecting rightful ownership.,, 2002, 4,, 121-128 5. Naor M, Shamir A. Workshop on the Theory and Application of Cryptographic Techniques, Visual cryptography”, Adv. Cryptology- Eurocrypt, In:, Perugia, Italy, pp. 1-12, 1995
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