Staff View: An approximation approach for digital image owner identification using histogram intersection technique

An approximation approach for digital image owner identification using histogram intersection technique

Researchers have documented a wide variety of attacks again st digital image watermarking techniques. Meanwhile, many strong attacks have been appearing at a reasonable rate. The investigations emphasize that modelling of the behaviours regarding such attacks is difficult. Studies have revealed that...

Full description

Saved in:

Bibliographic Details
Main Authors:	Emami, Mir Shahriar, Sulong, Ghazali, Seliman, Salbiah
Format:	Article
Published:	2012
Subjects:	QA76 Computer software
Online Access:	http://eprints.utm.my/id/eprint/46581/
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.46581
record_format	eprints
spelling	my.utm.465812017-09-14T07:10:48Z http://eprints.utm.my/id/eprint/46581/ An approximation approach for digital image owner identification using histogram intersection technique Emami, Mir Shahriar Sulong, Ghazali Seliman, Salbiah QA76 Computer software Researchers have documented a wide variety of attacks again st digital image watermarking techniques. Meanwhile, many strong attacks have been appearing at a reasonable rate. The investigations emphasize that modelling of the behaviours regarding such attacks is difficult. Studies have revealed that existing watermarking algorithms have a tendency to be severely affected by such strong attacks which results in destroyed watermarks. Hence, in the influence of such attacks, the ownership identification of the property cannot be established. This paper proposes an approximation approach for identification of the rightful owner of the property utilizing the remaining information of the attacked watermarks regardless of the attack behaviour . Here, we coupled the BiISB (Duo-ISB-Bit-Plane) watermarking algorithm together wit h the HI (Histogram Intersection) technique in order to identify the ownership of the property. In BiISB approach, while the main watermark delivers the ownership identification information, the sub- watermark which is a bit-pattern histogram, is the statistical information regarding the main watermark. In addition, three bit-pattern histograms namely, original, extracted and computed sub-watermarks have been used for approximation purpose. An investigation has been achieved using a standard Lena gray-scale host image of 512 × 512 pixels, a trademark image of 38 × 89 pixels as a sub-watermark and JPEG2000 loss compression, Cropping and Reset Removal watermarking attacks. The results have revealed that the proposed approach highly balanced the trade-off between imperceptibility and robustness. This was successfully achieved by preserving the quality of the watermarked image and, at the same time, identifying the ownership of the property even though the attack totally corrupted the embedded watermarks. 2012 Article PeerReviewed Emami, Mir Shahriar and Sulong, Ghazali and Seliman, Salbiah (2012) An approximation approach for digital image owner identification using histogram intersection technique. International Journal of Innovative Computing, Information and Control, 8 (7A). pp. 4605-4620. ISSN 1349-4198
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QA76 Computer software
spellingShingle	QA76 Computer software Emami, Mir Shahriar Sulong, Ghazali Seliman, Salbiah An approximation approach for digital image owner identification using histogram intersection technique
description	Researchers have documented a wide variety of attacks again st digital image watermarking techniques. Meanwhile, many strong attacks have been appearing at a reasonable rate. The investigations emphasize that modelling of the behaviours regarding such attacks is difficult. Studies have revealed that existing watermarking algorithms have a tendency to be severely affected by such strong attacks which results in destroyed watermarks. Hence, in the influence of such attacks, the ownership identification of the property cannot be established. This paper proposes an approximation approach for identification of the rightful owner of the property utilizing the remaining information of the attacked watermarks regardless of the attack behaviour . Here, we coupled the BiISB (Duo-ISB-Bit-Plane) watermarking algorithm together wit h the HI (Histogram Intersection) technique in order to identify the ownership of the property. In BiISB approach, while the main watermark delivers the ownership identification information, the sub- watermark which is a bit-pattern histogram, is the statistical information regarding the main watermark. In addition, three bit-pattern histograms namely, original, extracted and computed sub-watermarks have been used for approximation purpose. An investigation has been achieved using a standard Lena gray-scale host image of 512 × 512 pixels, a trademark image of 38 × 89 pixels as a sub-watermark and JPEG2000 loss compression, Cropping and Reset Removal watermarking attacks. The results have revealed that the proposed approach highly balanced the trade-off between imperceptibility and robustness. This was successfully achieved by preserving the quality of the watermarked image and, at the same time, identifying the ownership of the property even though the attack totally corrupted the embedded watermarks.
format	Article
author	Emami, Mir Shahriar Sulong, Ghazali Seliman, Salbiah
author_facet	Emami, Mir Shahriar Sulong, Ghazali Seliman, Salbiah
author_sort	Emami, Mir Shahriar
title	An approximation approach for digital image owner identification using histogram intersection technique
title_short	An approximation approach for digital image owner identification using histogram intersection technique
title_full	An approximation approach for digital image owner identification using histogram intersection technique
title_fullStr	An approximation approach for digital image owner identification using histogram intersection technique
title_full_unstemmed	An approximation approach for digital image owner identification using histogram intersection technique
title_sort	approximation approach for digital image owner identification using histogram intersection technique
publishDate	2012
url	http://eprints.utm.my/id/eprint/46581/
_version_	1643652077693435904
score	13.211869

An approximation approach for digital image owner identification using histogram intersection technique

Similar Items