Dual image-based reversible fragile watermarking scheme for tamper detection and localization
This study proposes an efficient dual image-based reversible fragile watermarking scheme (DI-RFWS) that can accurately detect and locate the tampering regions from an image. The proposed scheme embeds two secret bits in each host image (HI) pixel using a pixel readjustment strategy to obtain dual wa...
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| Published in | Pattern analysis and applications : PAA Vol. 26; no. 2; pp. 571 - 590 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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London
Springer London
01.05.2023
Springer Nature B.V |
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| Abstract | This study proposes an efficient dual image-based reversible fragile watermarking scheme (DI-RFWS) that can accurately detect and locate the tampering regions from an image. The proposed scheme embeds two secret bits in each host image (HI) pixel using a pixel readjustment strategy to obtain dual watermarked images (WIs). The pixel readjustment strategy performs a maximum modification of ± 1 to the non-boundary pixels of an image based on the watermark information. The results of the study suggest that in addition to reversibility, the proposed scheme offers triple objective of high capacity, better perceptual transparency, and robustness. Experimental results also show that the proposed scheme achieves a superior peak signal-to-noise ratio (PSNR) of above 52 dB for both the WIs. Further, the proposed scheme can efficiently detect and locate the tampering regions from an image with a high true positive rate, low false positive and negative rate for various tampering rates. Additionally, the proposed scheme shows superior resistance against various intentional and unintentional attacks. |
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| AbstractList | This study proposes an efficient dual image-based reversible fragile watermarking scheme (DI-RFWS) that can accurately detect and locate the tampering regions from an image. The proposed scheme embeds two secret bits in each host image (HI) pixel using a pixel readjustment strategy to obtain dual watermarked images (WIs). The pixel readjustment strategy performs a maximum modification of ± 1 to the non-boundary pixels of an image based on the watermark information. The results of the study suggest that in addition to reversibility, the proposed scheme offers triple objective of high capacity, better perceptual transparency, and robustness. Experimental results also show that the proposed scheme achieves a superior peak signal-to-noise ratio (PSNR) of above 52 dB for both the WIs. Further, the proposed scheme can efficiently detect and locate the tampering regions from an image with a high true positive rate, low false positive and negative rate for various tampering rates. Additionally, the proposed scheme shows superior resistance against various intentional and unintentional attacks. This study proposes an efficient dual image-based reversible fragile watermarking scheme (DI-RFWS) that can accurately detect and locate the tampering regions from an image. The proposed scheme embeds two secret bits in each host image (HI) pixel using a pixel readjustment strategy to obtain dual watermarked images (WIs). The pixel readjustment strategy performs a maximum modification of ± 1 to the non-boundary pixels of an image based on the watermark information. The results of the study suggest that in addition to reversibility, the proposed scheme offers triple objective of high capacity, better perceptual transparency, and robustness. Experimental results also show that the proposed scheme achieves a superior peak signal-to-noise ratio (PSNR) of above 52 dB for both the WIs. Further, the proposed scheme can efficiently detect and locate the tampering regions from an image with a high true positive rate, low false positive and negative rate for various tampering rates. Additionally, the proposed scheme shows superior resistance against various intentional and unintentional attacks. |
| Author | Patro, Pramoda Sahu, Gupteswar Sahu, Aditya Kumar Nayak, Soumya Ranjan Sahu, Monalisa |
| Author_xml | – sequence: 1 givenname: Aditya Kumar orcidid: 0000-0003-4257-0688 surname: Sahu fullname: Sahu, Aditya Kumar email: adityasahu.cse@gmail.com, s_adityakumar@av.amrita.edu organization: Amrita School of Computing, Amaravati Campus, Amrita Vishwa Vidyapeetham – sequence: 2 givenname: Monalisa surname: Sahu fullname: Sahu, Monalisa organization: Department of CSE, School of Engineering and Technology, GIET University – sequence: 3 givenname: Pramoda surname: Patro fullname: Patro, Pramoda organization: Department of Engineering Mathematics, College of Engineering, Koneru Lakshmaiah Education Foundation – sequence: 4 givenname: Gupteswar surname: Sahu fullname: Sahu, Gupteswar organization: Department of Electronics and Communication Engineering, Raghu Engineering College – sequence: 5 givenname: Soumya Ranjan surname: Nayak fullname: Nayak, Soumya Ranjan organization: School of Computer Engineering, KIIT Deemed to be University |
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| Copyright_xml | – notice: The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Keywords | Reversibility Tamper detection and localization Fragile watermarking Peak signal-to-noise ratio |
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| Snippet | This study proposes an efficient dual image-based reversible fragile watermarking scheme (DI-RFWS) that can accurately detect and locate the tampering regions... |
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| SubjectTerms | Computer Science Pattern Recognition Pixels Signal to noise ratio Theoretical Advances Watermarking |
| Title | Dual image-based reversible fragile watermarking scheme for tamper detection and localization |
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