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Two-layer fragile watermarking method secured with chaotic map for authentication of digital Holy Quran.

Khalil MS, Kurniawan F, Khan MK, Alginahi YM - ScientificWorldJournal (2014)

Bottom Line: Discrete wavelet transforms are applied to decompose the host image into wavelet prior to embedding the watermark in the wavelet domain.The watermarked wavelet coefficient is inverted back to spatial domain then the least significant bits is utilized to hide another watermark.A chaotic map is utilized to blur the watermark to make it secure against the local attack.

View Article: PubMed Central - PubMed

Affiliation: Center of Excellence Information Assurance, King Saud University, P.O. Box 92144, Riyadh 11653, Saudi Arabia ; IT Research Center for the Holy Quran and Its Sciences (NOOR), Taibah University, Madinah 41477, Saudi Arabia.

ABSTRACT
This paper presents a novel watermarking method to facilitate the authentication and detection of the image forgery on the Quran images. Two layers of embedding scheme on wavelet and spatial domain are introduced to enhance the sensitivity of fragile watermarking and defend the attacks. Discrete wavelet transforms are applied to decompose the host image into wavelet prior to embedding the watermark in the wavelet domain. The watermarked wavelet coefficient is inverted back to spatial domain then the least significant bits is utilized to hide another watermark. A chaotic map is utilized to blur the watermark to make it secure against the local attack. The proposed method allows high watermark payloads, while preserving good image quality. Experiment results confirm that the proposed methods are fragile and have superior tampering detection even though the tampered area is very small.

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Bit error rate result against Gaussian noise attack.
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Related In: Results  -  Collection


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fig11: Bit error rate result against Gaussian noise attack.

Mentions: The Quran image should not contain any noise because a dot is a matter in Arabic letters. Hence, a Gaussian noise that is commonly used to add noises in image processing is considered. The Gaussian noise does not have structure and it is difficult to eliminate such noises without suffering modifications to the image itself. Tables 12 and 13 show the PSNR and BER results of the proposed method, respectively, after Gaussian noise is inserted to the watermarked images. The result confirms that the proposed fragile watermarking method is capable of localizing the noise attack. Image quality is decreased after this attack as presented in Figure 10. Figure 11 reported fragility on PNG dataset better than JPEG dataset. Fragility on JPEG dataset is superior after n > 6.


Two-layer fragile watermarking method secured with chaotic map for authentication of digital Holy Quran.

Khalil MS, Kurniawan F, Khan MK, Alginahi YM - ScientificWorldJournal (2014)

Bit error rate result against Gaussian noise attack.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4060594&req=5

fig11: Bit error rate result against Gaussian noise attack.
Mentions: The Quran image should not contain any noise because a dot is a matter in Arabic letters. Hence, a Gaussian noise that is commonly used to add noises in image processing is considered. The Gaussian noise does not have structure and it is difficult to eliminate such noises without suffering modifications to the image itself. Tables 12 and 13 show the PSNR and BER results of the proposed method, respectively, after Gaussian noise is inserted to the watermarked images. The result confirms that the proposed fragile watermarking method is capable of localizing the noise attack. Image quality is decreased after this attack as presented in Figure 10. Figure 11 reported fragility on PNG dataset better than JPEG dataset. Fragility on JPEG dataset is superior after n > 6.

Bottom Line: Discrete wavelet transforms are applied to decompose the host image into wavelet prior to embedding the watermark in the wavelet domain.The watermarked wavelet coefficient is inverted back to spatial domain then the least significant bits is utilized to hide another watermark.A chaotic map is utilized to blur the watermark to make it secure against the local attack.

View Article: PubMed Central - PubMed

Affiliation: Center of Excellence Information Assurance, King Saud University, P.O. Box 92144, Riyadh 11653, Saudi Arabia ; IT Research Center for the Holy Quran and Its Sciences (NOOR), Taibah University, Madinah 41477, Saudi Arabia.

ABSTRACT
This paper presents a novel watermarking method to facilitate the authentication and detection of the image forgery on the Quran images. Two layers of embedding scheme on wavelet and spatial domain are introduced to enhance the sensitivity of fragile watermarking and defend the attacks. Discrete wavelet transforms are applied to decompose the host image into wavelet prior to embedding the watermark in the wavelet domain. The watermarked wavelet coefficient is inverted back to spatial domain then the least significant bits is utilized to hide another watermark. A chaotic map is utilized to blur the watermark to make it secure against the local attack. The proposed method allows high watermark payloads, while preserving good image quality. Experiment results confirm that the proposed methods are fragile and have superior tampering detection even though the tampered area is very small.

Show MeSH