Digital multimedia archiving based on optimization steganography system

Wazirali, RA; Chaczko, Z; Kale, A

Digital multimedia archiving based on optimization steganography system

Wazirali, RA Chaczko, Z

Kale, A

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Publication Type:: Conference Proceeding
Citation:: 2014 Asia-Pacific Conference on Computer Aided System Engineering, APCASE 2014, 2014, pp. 82 - 86
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Wazirali, RA	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Kale, A	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	2014 Asia-Pacific Conference on Computer Aided System Engineering, APCASE 2014, 2014, pp. 82 - 86	en_US
dc.identifier.isbn	9781479945689	en_US
dc.identifier.uri	http://hdl.handle.net/10453/34625
dc.description.abstract	© 2014 IEEE. As soon as digital artifacts have become a part and parcel of everyday life, the need for digital media archives with the capacity of preserving the given metadata has risen impressively. The process of converting the digital metadata to archives, however, is fraught with a number of difficulties, the key one concerning the methodology for embedding high payload capacity information into the digital multimedia and at the same time retains high quality of the image. The given paper will consider steganography as a possible solution to the aforementioned issue. Allowing for detecting the genetic algorithm for boosting the PSNR value with the information of high capacity will help solve the issue regarding the digital multimedia archiving. Many sizes of data are embeded inside the images and the PSNR (Peak signal-to-noise ratio) is also taken for each of the images verified.	en_US
dc.relation.ispartof	2014 Asia-Pacific Conference on Computer Aided System Engineering, APCASE 2014	en_US
dc.relation.isbasedon	10.1109/APCASE.2014.6924476	en_US
dc.title	Digital multimedia archiving based on optimization steganography system	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Bali/South Kuta
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. As soon as digital artifacts have become a part and parcel of everyday life, the need for digital media archives with the capacity of preserving the given metadata has risen impressively. The process of converting the digital metadata to archives, however, is fraught with a number of difficulties, the key one concerning the methodology for embedding high payload capacity information into the digital multimedia and at the same time retains high quality of the image. The given paper will consider steganography as a possible solution to the aforementioned issue. Allowing for detecting the genetic algorithm for boosting the PSNR value with the information of high capacity will help solve the issue regarding the digital multimedia archiving. Many sizes of data are embeded inside the images and the PSNR (Peak signal-to-noise ratio) is also taken for each of the images verified.

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http://hdl.handle.net/10453/34625