Reversible data hiding using side-match predictions on steganographic images

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/107206

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107206

Title:	Reversible data hiding using side-match predictions on steganographic images
Authors:	許富皓;Hsu, Fu-Hau;Wu, Min-Hao;Wang, Shiuh-Jeng
Contributors:	資訊電機學院資訊工程學系
Keywords:	Analysis;Applied sciences;Artificial intelligence;Computer Communication Networks;Computer information security;Computer Science;Computer science;control theory;systems;Cryptography;Data Structures and Information Theory;Distortion;Exact sciences and technology;Histograms;Image processing systems;Image quality;Information processing;Information, signal and communications theory;Internet;Memory and file management (including protection and security);Memory organisation. Data processing;Methods;Multilevel;Multimedia;Multimedia Information Systems;Noise levels;Pattern recognition. Digital image processing. Computational geometry;Signal and communications theory;Software;Special Purpose and Application-Based Systems;Strategy;Studies;Telecommunications and information theory
Date:	2013-12-01
Issue Date:	2026-04-23 13:59:51 (UTC+8)
Publisher:	Springer Netherlands;Boston: Springer US
Abstract:	摘要： Information hiding is an important method to achieve multi-media security. Recently, many researchers have paid attention to the reversible data hiding scheme, which can completely recover original multi-media files after the embedded data are extracted. In this paper, a side-match approach is proposed to achieve more capacity in histogram-based reversible data hiding for grayscale images. The histogram is created by exploiting the difference in all the values between pixels and their predictedive values. Experimental results show that our method is capable of providing a great embedding capacity without causing noticeable distortion. In one-level hiding, where it has the best capacity, our method conserves image qualities larger than 48 dB. Furthermore, in multilevel hiding, a rotation strategy is proposed to further improve image qualities. Experimental results show that our method performs better than other existing methods in multilevel hiding cases. 其他題名： Multimed Tools Appl 出版者： Boston: Springer US 出版日期： 2013-12-01 出處： Multimedia tools and applications, 2013-12, Vol.67 (3), p.571-591 資源來源： ABI/INFORM Global 版權： Springer Science+Business Media, LLC 2012 版權： 2015 INIST-CNRS 版權： Springer Science+Business Media New York 2013 識別號： ISSN: 1380-7501 識別號： EISSN: 1573-7721 識別號： DOI: 10.1007/s11042-012-1047-7
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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