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A blind recovery technique with integer wavelet transforms in image watermarking

The development of internet technology has simplified the sharing and modification of digital image information. The aim of this study is to propose a new blind recovery technique based on integer wavelets transform (BRIWT) by utilizing their image content. The LSB adjustment technique on the intege...

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Main Authors: Ernawan, Ferda, Afrig, Aminuddin, Suraya, Abu Bakar
Format: Article
Language:English
Published: Elsevier B.V. 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/39745/1/A%20blind%20recovery%20technique%20with%20integer%20wavelet%20transforms%20in%20image%20watermarking.pdf
http://umpir.ump.edu.my/id/eprint/39745/
https://doi.org/10.1016/j.jestch.2023.101586
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spelling my.ump.umpir.397452023-12-26T01:36:58Z http://umpir.ump.edu.my/id/eprint/39745/ A blind recovery technique with integer wavelet transforms in image watermarking Ernawan, Ferda Afrig, Aminuddin Suraya, Abu Bakar QA75 Electronic computers. Computer science The development of internet technology has simplified the sharing and modification of digital image information. The aim of this study is to propose a new blind recovery technique based on integer wavelets transform (BRIWT) by utilizing their image content. The LSB adjustment technique on the integer wavelet transform is used to embed recovery data into the two least significant bits (LSB) of the image content. Authentication bits are embedded into the current locations of the LSB of the image content, while the recovery information is embedded into different block locations based on the proposed block mapping. The embedded recovery data is securely placed at random locations within the two LSBs using a secret key. A three-layer embedding of authentication bits is used to validate the integrity of the image contents, achieving high precision and accuracy. Tamper localization accuracy is employed to identify recovery bits from the image content. This research also investigates the image inpainting method to enhance recovery from tampered images. The proposed image inpainting is performed by identifying non-tampered pixels in the surrounding tamper localization. The results demonstrate that the proposed scheme can produce highly watermarked images with imperceptibility, with an average SSIM value of 0.9978 and a PSNR value of 46.20 dB. The proposed scheme significantly improves the accuracy of tamper localization, with a precision of 0.9943 and an accuracy of 0.9971. The proposed recovery technique using integer wavelet transforms achieves high-quality blind recovery with an SSIM value of 0.9934 under a tampering rate of 10%. The findings of this study reveal that the proposed scheme improves the quality of blind recovery by 14.2 % under a tampering rate of 80 %. Elsevier B.V. 2023 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/39745/1/A%20blind%20recovery%20technique%20with%20integer%20wavelet%20transforms%20in%20image%20watermarking.pdf Ernawan, Ferda and Afrig, Aminuddin and Suraya, Abu Bakar (2023) A blind recovery technique with integer wavelet transforms in image watermarking. Engineering Science and Technology, an International Journal, 48 (101586). pp. 1-12. ISSN 2215-0986. (Published) https://doi.org/10.1016/j.jestch.2023.101586 10.1016/j.jestch.2023.101586
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
spellingShingle QA75 Electronic computers. Computer science
Ernawan, Ferda
Afrig, Aminuddin
Suraya, Abu Bakar
A blind recovery technique with integer wavelet transforms in image watermarking
description The development of internet technology has simplified the sharing and modification of digital image information. The aim of this study is to propose a new blind recovery technique based on integer wavelets transform (BRIWT) by utilizing their image content. The LSB adjustment technique on the integer wavelet transform is used to embed recovery data into the two least significant bits (LSB) of the image content. Authentication bits are embedded into the current locations of the LSB of the image content, while the recovery information is embedded into different block locations based on the proposed block mapping. The embedded recovery data is securely placed at random locations within the two LSBs using a secret key. A three-layer embedding of authentication bits is used to validate the integrity of the image contents, achieving high precision and accuracy. Tamper localization accuracy is employed to identify recovery bits from the image content. This research also investigates the image inpainting method to enhance recovery from tampered images. The proposed image inpainting is performed by identifying non-tampered pixels in the surrounding tamper localization. The results demonstrate that the proposed scheme can produce highly watermarked images with imperceptibility, with an average SSIM value of 0.9978 and a PSNR value of 46.20 dB. The proposed scheme significantly improves the accuracy of tamper localization, with a precision of 0.9943 and an accuracy of 0.9971. The proposed recovery technique using integer wavelet transforms achieves high-quality blind recovery with an SSIM value of 0.9934 under a tampering rate of 10%. The findings of this study reveal that the proposed scheme improves the quality of blind recovery by 14.2 % under a tampering rate of 80 %.
format Article
author Ernawan, Ferda
Afrig, Aminuddin
Suraya, Abu Bakar
author_facet Ernawan, Ferda
Afrig, Aminuddin
Suraya, Abu Bakar
author_sort Ernawan, Ferda
title A blind recovery technique with integer wavelet transforms in image watermarking
title_short A blind recovery technique with integer wavelet transforms in image watermarking
title_full A blind recovery technique with integer wavelet transforms in image watermarking
title_fullStr A blind recovery technique with integer wavelet transforms in image watermarking
title_full_unstemmed A blind recovery technique with integer wavelet transforms in image watermarking
title_sort blind recovery technique with integer wavelet transforms in image watermarking
publisher Elsevier B.V.
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/39745/1/A%20blind%20recovery%20technique%20with%20integer%20wavelet%20transforms%20in%20image%20watermarking.pdf
http://umpir.ump.edu.my/id/eprint/39745/
https://doi.org/10.1016/j.jestch.2023.101586
_version_ 1822924006762741760
score 13.23243

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