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Digital rights management (DRM) - watermark encoding scheme for JPEG images

Dissertation (MEng)--University of Pretoria, 2008.

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Other Authors: Hancke, Gerhard P.
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Hancke, Gerhard P.
author_browse Hancke, Gerhard P.
author_facet Hancke, Gerhard P.
collection Thesis
dc_rights_str_mv © University of Pretoria 2007 E1079/
description Dissertation (MEng)--University of Pretoria, 2008.
format Thesis
id oai:repository.up.ac.za:2263/27910
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:40:44.617Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/27910 Digital rights management (DRM) - watermark encoding scheme for JPEG images Hancke, Gerhard P. Penzhorn, W.T. sasamuel@gmail.com Samuel, Sindhu Message randomization Cryptography ‘key-less’ encryption technique Source modeling Entropy coding Jpeg Arithmetic coding Copyright Digital watermarking Homophonic coding UCTD Dissertation (MEng)--University of Pretoria, 2008. The aim of this dissertation is to develop a new algorithm to embed a watermark in JPEG compressed images, using encoding methods. This encompasses the embedding of proprietary information, such as identity and authentication bitstrings, into the compressed material. This watermark encoding scheme involves combining entropy coding with homophonic coding, in order to embed a watermark in a JPEG image. Arithmetic coding was used as the entropy encoder for this scheme. It is often desired to obtain a robust digital watermarking method that does not distort the digital image, even if this implies that the image is slightly expanded in size before final compression. In this dissertation an algorithm that combines homophonic and arithmetic coding for JPEG images was developed and implemented in software. A detailed analysis of this algorithm is given and the compression (in number of bits) obtained when using the newly developed algorithm (homophonic and arithmetic coding). This research shows that homophonic coding can be used to embed a watermark in a JPEG image by using the watermark information for the selection of the homophones. The proposed algorithm can thus be viewed as a ‘key-less’ encryption technique, where an external bitstring is used as a ‘key’ and is embedded intrinsically into the message stream. The algorithm has achieved to create JPEG images with minimal distortion, with Peak Signal to Noise Ratios (PSNR) of above 35dB. The resulting increase in the entropy of the file is within the expected 2 bits per symbol. This research endeavor consequently provides a unique watermarking technique for images compressed using the JPEG standard. Electrical, Electronic and Computer Engineering unrestricted 2013-09-07T12:34:25Z 2008-09-23 2013-09-07T12:34:25Z 2008-04-09 2008-09-23 2008-09-12 Dissertation a 2007 E1079/gm http://hdl.handle.net/2263/27910 http://upetd.up.ac.za/thesis/available/etd-09122008-182920/ © University of Pretoria 2007 E1079/ application/pdf University of Pretoria
spellingShingle Message randomization
Cryptography
‘key-less’ encryption technique
Source modeling
Entropy coding
Jpeg
Arithmetic coding
Copyright
Digital watermarking
Homophonic coding
UCTD
Digital rights management (DRM) - watermark encoding scheme for JPEG images
title Digital rights management (DRM) - watermark encoding scheme for JPEG images
title_full Digital rights management (DRM) - watermark encoding scheme for JPEG images
title_fullStr Digital rights management (DRM) - watermark encoding scheme for JPEG images
title_full_unstemmed Digital rights management (DRM) - watermark encoding scheme for JPEG images
title_short Digital rights management (DRM) - watermark encoding scheme for JPEG images
title_sort digital rights management drm watermark encoding scheme for jpeg images
topic Message randomization
Cryptography
‘key-less’ encryption technique
Source modeling
Entropy coding
Jpeg
Arithmetic coding
Copyright
Digital watermarking
Homophonic coding
UCTD
url http://hdl.handle.net/2263/27910
http://upetd.up.ac.za/thesis/available/etd-09122008-182920/