Self-Recovery in Fragile Image Watermarking Using Integer Wavelet Transform

The growth of internet technology makes digital images can be easily distributed and modified to change image information. This research proposes fragile image watermarking based on LSB Adjustment on integer wavelet transform. This study focuses on self-recovery and authenticating the integrity of i...

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Main Authors: Ernawan, Ferda, Afrig, Aminuddin, Eh Phon, Danakorn Nincarean, Alsheikh, Emad Addin, Wibowo, Adi
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/38919/1/Self-Recovery%20in%20Fragile%20Image%20Watermarking.pdf
http://umpir.ump.edu.my/id/eprint/38919/2/Self-Recovery%20in%20Fragile%20Image%20Watermarking%20Using%20Integer%20Wavelet%20Transform.pdf
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author Ernawan, Ferda
Afrig, Aminuddin
Eh Phon, Danakorn Nincarean
Alsheikh, Emad Addin
Wibowo, Adi
author_facet Ernawan, Ferda
Afrig, Aminuddin
Eh Phon, Danakorn Nincarean
Alsheikh, Emad Addin
Wibowo, Adi
author_sort Ernawan, Ferda
collection UMP
description The growth of internet technology makes digital images can be easily distributed and modified to change image information. This research proposes fragile image watermarking based on LSB Adjustment on integer wavelet transform. This study focuses on self-recovery and authenticating the integrity of image contents. The proposed scheme embeds a watermark into the two-LSB by using LSB adjustment. The authentication bits are randomly located in the two-LSB with a secret key. The recovery data is generated based on IWT for the recovery process. The proposed watermarking method uses multi-layer authentication to achieve high precision and accuracy. This research also uses image inpainting techniques to improve the recovery under tamper attacks. The experimental results produce high imperceptibility with PSNR of 45.5 dB and SSIM of 0.997. The proposed scheme produces better self-recovered image quality than the existing scheme with PSNR of 37.98 dB and SSIM of 0.9928 against a tampering rate of 10%
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language English
English
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spelling UMPir389192023-10-18T07:24:26Z http://umpir.ump.edu.my/id/eprint/38919/ Self-Recovery in Fragile Image Watermarking Using Integer Wavelet Transform Ernawan, Ferda Afrig, Aminuddin Eh Phon, Danakorn Nincarean Alsheikh, Emad Addin Wibowo, Adi QA76 Computer software T Technology (General) The growth of internet technology makes digital images can be easily distributed and modified to change image information. This research proposes fragile image watermarking based on LSB Adjustment on integer wavelet transform. This study focuses on self-recovery and authenticating the integrity of image contents. The proposed scheme embeds a watermark into the two-LSB by using LSB adjustment. The authentication bits are randomly located in the two-LSB with a secret key. The recovery data is generated based on IWT for the recovery process. The proposed watermarking method uses multi-layer authentication to achieve high precision and accuracy. This research also uses image inpainting techniques to improve the recovery under tamper attacks. The experimental results produce high imperceptibility with PSNR of 45.5 dB and SSIM of 0.997. The proposed scheme produces better self-recovered image quality than the existing scheme with PSNR of 37.98 dB and SSIM of 0.9928 against a tampering rate of 10% IEEE 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38919/1/Self-Recovery%20in%20Fragile%20Image%20Watermarking.pdf pdf en http://umpir.ump.edu.my/id/eprint/38919/2/Self-Recovery%20in%20Fragile%20Image%20Watermarking%20Using%20Integer%20Wavelet%20Transform.pdf Ernawan, Ferda and Afrig, Aminuddin and Eh Phon, Danakorn Nincarean and Alsheikh, Emad Addin and Wibowo, Adi (2022) Self-Recovery in Fragile Image Watermarking Using Integer Wavelet Transform. In: 2022 IEEE 8th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) , Melaka, Malaysia. pp. 21-25. (183892). ISSN 978-166548800-6 https://doi.org/10.1109/ICSIMA55652.2022.9929127
spellingShingle QA76 Computer software
T Technology (General)
Ernawan, Ferda
Afrig, Aminuddin
Eh Phon, Danakorn Nincarean
Alsheikh, Emad Addin
Wibowo, Adi
Self-Recovery in Fragile Image Watermarking Using Integer Wavelet Transform
title Self-Recovery in Fragile Image Watermarking Using Integer Wavelet Transform
title_full Self-Recovery in Fragile Image Watermarking Using Integer Wavelet Transform
title_fullStr Self-Recovery in Fragile Image Watermarking Using Integer Wavelet Transform
title_full_unstemmed Self-Recovery in Fragile Image Watermarking Using Integer Wavelet Transform
title_short Self-Recovery in Fragile Image Watermarking Using Integer Wavelet Transform
title_sort self recovery in fragile image watermarking using integer wavelet transform
topic QA76 Computer software
T Technology (General)
url http://umpir.ump.edu.my/id/eprint/38919/1/Self-Recovery%20in%20Fragile%20Image%20Watermarking.pdf
http://umpir.ump.edu.my/id/eprint/38919/2/Self-Recovery%20in%20Fragile%20Image%20Watermarking%20Using%20Integer%20Wavelet%20Transform.pdf
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