Reversible Data Hiding Using a Piecewise Autoregressive Predictor Based on Two-stage Embedding
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Byeong Yong | - |
dc.contributor.author | Hwang, Hee Joon | - |
dc.contributor.author | Kim, Hyoung Joong | - |
dc.date.accessioned | 2021-09-03T22:19:29Z | - |
dc.date.available | 2021-09-03T22:19:29Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2016-07 | - |
dc.identifier.issn | 1975-0102 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/88165 | - |
dc.description.abstract | Reversible image watermarking, a type of digital data hiding, is capable of recovering the original image and extracting the hidden message with precision. A number of reversible algorithms have been proposed to achieve a high embedding capacity and a low distortion. While numerous algorithms for the achievement of a favorable performance regarding a small embedding capacity exist, the main goal of this paper is the achievement of a more favorable performance regarding a larger embedding capacity and a lower distortion. This paper therefore proposes a reversible data hiding algorithm for which a novel piecewise 2D auto-regression (P2AR) predictor that is based on a rhombus-embedding scheme is used. In addition, a minimum description length (MDL) approach is applied to remove the outlier pixels from a training set so that the effect of a multiple linear regression can be maximized. The experiment results demonstrate that the performance of the proposed method is superior to those of previous methods. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER SINGAPORE PTE LTD | - |
dc.subject | DIFFERENCE EXPANSION | - |
dc.subject | WATERMARKING | - |
dc.subject | COMPRESSION | - |
dc.subject | ALGORITHM | - |
dc.subject | SELECTION | - |
dc.title | Reversible Data Hiding Using a Piecewise Autoregressive Predictor Based on Two-stage Embedding | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Hyoung Joong | - |
dc.identifier.doi | 10.5370/JEET.2016.11.4.974 | - |
dc.identifier.scopusid | 2-s2.0-84974801224 | - |
dc.identifier.wosid | 000378222100022 | - |
dc.identifier.bibliographicCitation | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.11, no.4, pp.974 - 986 | - |
dc.relation.isPartOf | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | - |
dc.citation.title | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | - |
dc.citation.volume | 11 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 974 | - |
dc.citation.endPage | 986 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002115475 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | DIFFERENCE EXPANSION | - |
dc.subject.keywordPlus | WATERMARKING | - |
dc.subject.keywordPlus | COMPRESSION | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | SELECTION | - |
dc.subject.keywordAuthor | Context prediction | - |
dc.subject.keywordAuthor | Least-squared-based method | - |
dc.subject.keywordAuthor | Minimum description length | - |
dc.subject.keywordAuthor | Piecewise auto-regression | - |
dc.subject.keywordAuthor | Prediction-error expansion | - |
dc.subject.keywordAuthor | Reversible data hiding | - |
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