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Reversible data hiding in JPEG images based on adjustable padding
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Chang, Ching-Chun and Li, Chang-Tsun (2017) Reversible data hiding in JPEG images based on adjustable padding. In: 5th International Workshop on Biometrics and Forensics, Coventry, UK, 4-5 Apr 2017 ISBN 9781509057917. doi:10.1109/IWBF.2017.7935083
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WRAP-reversible-data-hiding-JPEG-images-based-adjustable-padding-Li-2017.pdf - Accepted Version - Requires a PDF viewer. Download (2014Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/IWBF.2017.7935083
Abstract
In this paper, we propose a reversible data hiding scheme that enables an adjustable amount of information to be embedded in JPEG images based on padding strategy. The proposed embedding algorithm only modifies, in a subtle manner, an adjustable number of zero-valued quantised DCT coefficients to embed the message. Hence, compared with a state-of-the-art based on histogram shifting, the proposed scheme has a relatively low distortion to the host images. In addition to this, we found that by representing the message in ternary instead of in binary, we can embed a greater amount of information while the level of distortion remains unchanged. Experimental results support that the proposed scheme can achieve better visual quality of the marked JPEG image than the histogram shifting based scheme. The proposed scheme also outperforms this state-of-the-art in terms of the ease of implementation.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TA Engineering (General). Civil engineering (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | JPEG (Image coding standard) , Image processing -- Computer programs, Data encryption (Computer science), Image processing -- Digital techniques, Image processing -- Digital techniques -- Mathematics, Data compression (Computer science) , Digital watermarking | ||||||
Publisher: | IEEE | ||||||
ISBN: | 9781509057917 | ||||||
Official Date: | 29 May 2017 | ||||||
Dates: |
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DOI: | 10.1109/IWBF.2017.7935083 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 18 May 2020 | ||||||
Date of first compliant Open Access: | 18 May 2020 | ||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | ||||||
Title of Event: | 5th International Workshop on Biometrics and Forensics | ||||||
Type of Event: | Workshop | ||||||
Location of Event: | Coventry, UK | ||||||
Date(s) of Event: | 4-5 Apr 2017 |
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