.png){kind=icon}
返回
Reversible data hiding using Lagrange interpolation for prediction-error expansion embedding
.png){kind=icon}
PRE
AI
DOI：10.1007/s00500-018-3537-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Inspired by reversible data hiding methods that applied the PE (predicted error) strategy will have the advantage of good performances. It means that the closer the PE approaches its climax, the higher embedding capacity and image quality will have. This paper provides four stages of two-phase reversible data hiding method to produce prediction images with Lagrange interpolation on odd and even pixels, and to hide confidential information into the differences between the predicted image and the original image. Lagrange interpolation will be crossly applied on odd and even pixels to produce predicted images, and then histogram shifting modification will be applied to embed secret data into. The experimental results demonstrate the quality of Lena image from this scheme has a PSNR value of 43.97 dB and an embedding capacity of 0.38 bpp, for one level. For enhancing the embedding capacity to 0.98 bpp, our scheme can still maintain a PSNR value of 31.14 dB. From the demonstrated results, it can be obvious to know that our proposed algorithm has superior performances in terms of image quality and embedding capacity than that the algorithms of Ni et al. and Tai et al.
Keyword:
Prediction error
Reversible data hiding
Lagrange interpolation
Histogram shifting modification
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
机构
引用论文
Thermoregulation and energetics of fin and sei whales based on postmortem, stratified temperature measurements基于死后分层温度测量的须鲸和塞鲸的热调节与能量学
PREAI
分享收藏Reversible image hiding scheme using predictive coding and histogram shifting.png)
SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏Structure of the TPR Domain of AIP: Lack of Client Protein Interaction with the C-Terminal α-7 Helix of the TPR Domain of AIP Is Sufficient for Pituitary Adenoma PredispositionAIP的TPR结构域的结构: 缺乏与AIP的TPR结构域的C末端 α-7螺旋的客户蛋白相互作用足以使垂体腺瘤易感性PLoS ONE
OAAI
PLoS ONEIF0
OAAI分享收藏A high capacity reversible data hiding scheme using orthogonal projection and prediction error modificationSIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏
查看更多内容