Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)

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Impact in the performance measures for watermark Specific embedding on a hybrid digital image watermarking framework

Authors
Saharul Alom Barlaskar1, *, Anish Monsley Kirupakaran1, Ashfaq Hussain1, Masuma Aktar1, Rabul Hussain Laskar1, Taimoor Khan1
1Department of ECE, National Institute of Technology Silchar, Cachar, 788010, Assam, India
*Corresponding author. Email: saharul_rs@ece.nits.ac.in
Corresponding Author
Saharul Alom Barlaskar
Available Online 4 October 2024.
DOI
10.2991/978-94-6463-529-4_9How to use a DOI?
Keywords
Imperceptibility; robustness; Singular-value- decomposition; integer wavlet transform
Abstract

This paper presents an analytical study on the watermark specific embedding in the hybrid digital watermarking framework. Watermark is inserted in the modifications of singular values of SVD domain. To maximize the image imperceptibility and robustness of extraction with adequate security, three important study have been presented in this paper. The excellent re-constructional features of integer wavelet transform (IWT) have been integrated with DCT-SVD domain to obtain adequate visual quality of the watermarked image. The hybrid DCT-SVD features are proved to be sufficiently flexible in the image processing attacks condition. Impact of text image as watermark in the performance parameters have been presented and compared with other general image as watermark. SVD side matrix as a key information at the recipient end helps to avoid the rising FPP problem in SVD domain. The performance of the system have been judged in presence of various image processing attacks, in terms of parameters such as PSNR, NCC, BER, SSIM, and NSR values. The experimental results and analysis validates the scheme is sufficiently flexible to tackle attacks, and exhibits adequate imperceptibility and robustness.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
Series
Advances in Engineering Research
Publication Date
4 October 2024
ISBN
978-94-6463-529-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-529-4_9How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Saharul Alom Barlaskar
AU  - Anish Monsley Kirupakaran
AU  - Ashfaq Hussain
AU  - Masuma Aktar
AU  - Rabul Hussain Laskar
AU  - Taimoor Khan
PY  - 2024
DA  - 2024/10/04
TI  - Impact in the performance measures for watermark Specific embedding on a hybrid digital image watermarking framework
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 86
EP  - 96
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_9
DO  - 10.2991/978-94-6463-529-4_9
ID  - Barlaskar2024
ER  -