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Dual image watermarking based on NSST-LWT-DCT for color image

Advanced internet technology allows unauthorized individuals to modify and distribute digital images. Image watermarking is a popular solution for copyright protection and ensuring digital security. This research presents an embedding scheme with a set of conditions using non-subsampled Shearlet tra...

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Main Authors: Avivah, Siti Nur, Ernawan, Ferda, Anis Farihan, Mat Raffei
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2024
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/41638/1/paper%201.pdf
http://umpir.ump.edu.my/id/eprint/41638/
http://doi.org/10.11591/ijeecs.v35.i2.pp907-915
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spelling my.ump.umpir.416382024-06-21T08:16:27Z http://umpir.ump.edu.my/id/eprint/41638/ Dual image watermarking based on NSST-LWT-DCT for color image Avivah, Siti Nur Ernawan, Ferda Anis Farihan, Mat Raffei QA75 Electronic computers. Computer science QA76 Computer software Advanced internet technology allows unauthorized individuals to modify and distribute digital images. Image watermarking is a popular solution for copyright protection and ensuring digital security. This research presents an embedding scheme with a set of conditions using non-subsampled Shearlet transform (NSST), lifting wavelet transform (LWT), and discrete cosine transform (DCT). Red and green channels are employed for the embedding process. The red channel is converted by NSST-LWT. The low-frequency area (LL) frequency is then split into small blocks of 8×8, each partition block is then transformed by DCT. The DCT coefficient of (3,4), (5,2), (5,3), (3,5), called matrix M1, and (2,5), (4,3), (6,2), (4,4), called matrix M2 are selected for singular value decomposition (SVD) process. With a set of conditions, the watermark bits are incorporated into those singular values. The green channel is cropped to get the center image before splitting into 4×4 pixels. The block components are then selected based on the least entropy value for the embedding regions. The selected blocks are then computed using LWT-SVD. A set of conditions for U(1,1) and U(2,1) are used to incorporate the watermark logo. The experimental findings reveal that the suggested scheme achieves high imperceptibility and resilience under various evaluating attacks with an average peak signal-to-noise ratio (PSNR) and correlation value (NC) values are up to 43.89 dB and 0.96, respectively. Institute of Advanced Engineering and Science 2024 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/41638/1/paper%201.pdf Avivah, Siti Nur and Ernawan, Ferda and Anis Farihan, Mat Raffei (2024) Dual image watermarking based on NSST-LWT-DCT for color image. Indonesian Journal of Electrical Engineering and Computer Science, 35 (2). pp. 907-915. ISSN 2502-4752. (Published) http://doi.org/10.11591/ijeecs.v35.i2.pp907-915 10.11591/ijeecs.v35.i2.pp907-915
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Avivah, Siti Nur
Ernawan, Ferda
Anis Farihan, Mat Raffei
Dual image watermarking based on NSST-LWT-DCT for color image
description Advanced internet technology allows unauthorized individuals to modify and distribute digital images. Image watermarking is a popular solution for copyright protection and ensuring digital security. This research presents an embedding scheme with a set of conditions using non-subsampled Shearlet transform (NSST), lifting wavelet transform (LWT), and discrete cosine transform (DCT). Red and green channels are employed for the embedding process. The red channel is converted by NSST-LWT. The low-frequency area (LL) frequency is then split into small blocks of 8×8, each partition block is then transformed by DCT. The DCT coefficient of (3,4), (5,2), (5,3), (3,5), called matrix M1, and (2,5), (4,3), (6,2), (4,4), called matrix M2 are selected for singular value decomposition (SVD) process. With a set of conditions, the watermark bits are incorporated into those singular values. The green channel is cropped to get the center image before splitting into 4×4 pixels. The block components are then selected based on the least entropy value for the embedding regions. The selected blocks are then computed using LWT-SVD. A set of conditions for U(1,1) and U(2,1) are used to incorporate the watermark logo. The experimental findings reveal that the suggested scheme achieves high imperceptibility and resilience under various evaluating attacks with an average peak signal-to-noise ratio (PSNR) and correlation value (NC) values are up to 43.89 dB and 0.96, respectively.
format Article
author Avivah, Siti Nur
Ernawan, Ferda
Anis Farihan, Mat Raffei
author_facet Avivah, Siti Nur
Ernawan, Ferda
Anis Farihan, Mat Raffei
author_sort Avivah, Siti Nur
title Dual image watermarking based on NSST-LWT-DCT for color image
title_short Dual image watermarking based on NSST-LWT-DCT for color image
title_full Dual image watermarking based on NSST-LWT-DCT for color image
title_fullStr Dual image watermarking based on NSST-LWT-DCT for color image
title_full_unstemmed Dual image watermarking based on NSST-LWT-DCT for color image
title_sort dual image watermarking based on nsst-lwt-dct for color image
publisher Institute of Advanced Engineering and Science
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/41638/1/paper%201.pdf
http://umpir.ump.edu.my/id/eprint/41638/
http://doi.org/10.11591/ijeecs.v35.i2.pp907-915
_version_ 1822924411803533312
score 13.2353115

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