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Improved Reversible Data Hiding in JPEG Images Based on Interval Correlation

  • Zhigao Hong
  • , Zhaoxia Yin*
  • , Bin Luo
  • *此作品的通讯作者
  • Anhui University
  • Shanghai University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The redundancy of JPEG images is lower than that of non-compressed images, so any modification will greatly reduce the visual effect and produce file expansion. In this paper, a new RDH algorithm for JPEG images based on interval correlation is proposed. Through the quantization of DCT, the secret message is embedded into a continuous interval with large correlation and low distortion by using histogram shifting (HS). Experimental result shows that the proposed algorithm has better peak signal noise ratio (PSNR) and file expansion than the state-of-the-art HS algorithms for JPEG.

源语言英语
主期刊名Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings
编辑Amir Hussain, Bin Luo, Jiangbin Zheng, Xinbo Zhao, Cheng-Lin Liu, Jinchang Ren, Huimin Zhao
出版商Springer Verlag
页687-696
页数10
ISBN(印刷版)9783030005627
DOI
出版状态已出版 - 2018
已对外发布是
活动9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018 - Xi'an, 中国
期限: 7 7月 2018 → 8 7月 2018

丛书

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷10989 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018
国家/地区中国
市Xi'an
时期7/07/18 → 8/07/18

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