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AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation

This paper presents an image watermarking technique for authentication and self-recovery called AuSR2. The AuSR2 scheme partitions the cover image into 3 × 3 non-overlapping blocks. The watermark data is embedded into two Least Significant Bit (LSB), consisting of two authentication bits and 16 reco...

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Main Authors: Aminuddin, Afrig, Ernawan, F.
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/34818/1/AuSR2-published.pdf
http://umpir.ump.edu.my/id/eprint/34818/
http://www.elsevier.com/locate/compeleceng
https://doi.org/10.1016/j.compeleceng.2022.108207
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spelling my.ump.umpir.348182022-08-02T08:14:20Z http://umpir.ump.edu.my/id/eprint/34818/ AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation Aminuddin, Afrig Ernawan, F. QA75 Electronic computers. Computer science QA76 Computer software This paper presents an image watermarking technique for authentication and self-recovery called AuSR2. The AuSR2 scheme partitions the cover image into 3 × 3 non-overlapping blocks. The watermark data is embedded into two Least Significant Bit (LSB), consisting of two authentication bits and 16 recovery bits for each block. The texture of each block is preserved in the recovery data. Thus, each tampered pixel can be recovered independently instead of using the average block. The recovery process may introduce the tamper coincidence problem, which can be solved using image inpainting. The AuSR2 implements the LSB shifting algorithm to increase the imperceptibility by 2.8%. The experimental results confirm that the AuSR2 can accurately detect the tampering area up to 100%. The AuSR2 can recover the tampered image with a PSNR value of 38.11 dB under a 10% tampering rate. The comparative analysis proves the superiority of the AuSR2 compared to the existing schemes Elsevier Ltd 2022 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34818/1/AuSR2-published.pdf Aminuddin, Afrig and Ernawan, F. (2022) AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation. Computers & Electrical Engineering, 102. pp. 108-207. ISSN 0045-7906 http://www.elsevier.com/locate/compeleceng https://doi.org/10.1016/j.compeleceng.2022.108207
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP 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
Aminuddin, Afrig
Ernawan, F.
AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation
description This paper presents an image watermarking technique for authentication and self-recovery called AuSR2. The AuSR2 scheme partitions the cover image into 3 × 3 non-overlapping blocks. The watermark data is embedded into two Least Significant Bit (LSB), consisting of two authentication bits and 16 recovery bits for each block. The texture of each block is preserved in the recovery data. Thus, each tampered pixel can be recovered independently instead of using the average block. The recovery process may introduce the tamper coincidence problem, which can be solved using image inpainting. The AuSR2 implements the LSB shifting algorithm to increase the imperceptibility by 2.8%. The experimental results confirm that the AuSR2 can accurately detect the tampering area up to 100%. The AuSR2 can recover the tampered image with a PSNR value of 38.11 dB under a 10% tampering rate. The comparative analysis proves the superiority of the AuSR2 compared to the existing schemes
format Article
author Aminuddin, Afrig
Ernawan, F.
author_facet Aminuddin, Afrig
Ernawan, F.
author_sort Aminuddin, Afrig
title AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation
title_short AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation
title_full AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation
title_fullStr AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation
title_full_unstemmed AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation
title_sort ausr2: image watermarking technique for authentication and self-recovery with image texture preservation
publisher Elsevier Ltd
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/34818/1/AuSR2-published.pdf
http://umpir.ump.edu.my/id/eprint/34818/
http://www.elsevier.com/locate/compeleceng
https://doi.org/10.1016/j.compeleceng.2022.108207
_version_ 1740825841219141632
score 13.211869

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