Very effective multi-layer reversible embedding method using low distortion modification

被引:0
|
作者
Huang, Ying-Hsuan [1 ]
Chang, Chin-Chen [2 ]
Lin, Meng-Chieh [2 ]
Horng, Gwo-Boa [1 ]
机构
[1] Department of Computer Science and Engineering, National Chung Hsing University, Taichung,40227, Taiwan
[2] Department of Information Engineering and Computer Science, Feng Chia University, Taichung,40724, Taiwan
关键词
Forecasting - Image quality;
D O I
暂无
中图分类号
学科分类号
摘要
In recent years, prediction-based reversible information hiding approaches have been widely developed. For example, Lee and Chen proposed an adjustable prediction- based reversible information hiding approach, hiding capacity of which is higher than that of previous approaches. However, the altered pixels used for embedding secret data are used to predict the next pixel. The prediction results decrease significantly because the previous pixels may suffer from the large modification. In order to solve this problem, in this paper, we propose a new approach with low distortion modification, which modifies each pixel by increasing or decreasing at most one gray level. Thus, the distortions to cover pixels are slight. Moreover, in the proposed approach, some pixels are not altered to enhance the prediction efficiency in the next embedding round. Consequently, the proposed approach is very suitable for multi-layer embedding. Experimental results show that the proposed approach has better image quality than recent prediction-based reversible information hiding approaches under the same hiding rate. © 2015 ISSN.
引用
收藏
页码:760 / 770
相关论文
共 50 条
  • [1] Reversible data hiding scheme using reference pixel and multi-layer embedding
    Zeng, Xian-ting
    Li, Zhuo
    Ping, Ling-di
    [J]. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2012, 66 (07) : 532 - 539
  • [2] A novel reversible data hiding scheme using SMVQ prediction index and multi-layer embedding
    Lingfei Wang
    Zhibin Pan
    Ruoxin Zhu
    [J]. Multimedia Tools and Applications, 2017, 76 : 26225 - 26248
  • [3] High-Capacity Reversible Data Hiding in Encrypted Images Using Multi-Layer Embedding
    Malik, Asad
    He, Peisong
    Wang, Hongxia
    Khan, Ahmad Neyaz
    Pirasteh, Saied
    Abdullahi, Sani M.
    [J]. IEEE ACCESS, 2020, 8 (08): : 148997 - 149010
  • [4] A novel reversible data hiding scheme using SMVQ prediction index and multi-layer embedding
    Wang, Lingfei
    Pan, Zhibin
    Zhu, Ruoxin
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (24) : 26225 - 26248
  • [5] Multi-Layer Virtual Network Embedding
    Chowdhury, Shihabur Rahman
    Ayoubi, Sara
    Ahmed, Reaz
    Shahriar, Nashid
    Boutaba, Raouf
    Mitra, Jeebak
    Liu, Liu
    [J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2018, 15 (03): : 1132 - 1145
  • [6] Attributed Multi-layer Network Embedding
    Pei, Zhongyue
    Zhang, Xi
    Zhang, Fangwei
    Fang, Binxing
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 3701 - 3710
  • [7] A high capacity image steganography using multi-layer embedding
    Tang, Mingwei
    Hu, Jie
    Song, Wen
    [J]. OPTIK, 2014, 125 (15): : 3972 - 3976
  • [8] Robust Reversible Watermarking Scheme in Video Compression Domain Based on Multi-Layer Embedding
    Meng, Yifei
    Niu, Ke
    Zhang, Yingnan
    Liang, Yucheng
    Hu, Fangmeng
    [J]. ELECTRONICS, 2024, 13 (18)
  • [9] MULE: Multi-Layer Virtual Network Embedding
    Chowdhury, Shihabur Rahman
    Ayoubi, Sara
    Ahmed, Reaz
    Shahriar, Nashid
    Boutaba, Raouf
    Mitra, Jeebak
    Liu, Liu
    [J]. 2017 13TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM), 2017,
  • [10] GRAPH EMBEDDING USING MULTI-LAYER ADJACENT POINT MERGING MODEL
    Huang, Jianming
    Kasai, Hiroyuki
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 3585 - 3589