@inproceedings{bbf33d27ea6d47e2bd22b4463a5bd564,
title = "A strategy of distinguishing texture feature for reversible data hiding based on histogram shifting",
abstract = "Reversible data hiding has received growing attention, which not only protects the secret information but also can recover the cover image accurately. Many algorithms have aimed at embedding capacity and rarely consider the texture features of spatial images. In this paper, to better improve the image quality, a novel strategy of distinguishing texture feature for reversible data hiding based on histogram shifting is proposed. Firstly, the cover image is separated into blocks of the equal size, and the texture feature value of blocks is calculated. Then, the relatively smooth blocks are selected for information embedding. Experimental results show that our method can improve image quality effectively.",
keywords = "Image quality, Image texture, Reversible data hiding",
author = "Yinyin Peng and Zhaoxia Yin",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 17th International Workshop on Digital Forensics and Watermarking, IWDW 2018 ; Conference date: 22-10-2018 Through 24-10-2018",
year = "2019",
doi = "10.1007/978-3-030-11389-6\_16",
language = "英语",
isbn = "9783030113889",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "206--215",
editor = "Yun-Qing Shi and Kim, \{Hyoung Joong\} and Yoo, \{Chang D.\} and Gwangsu Kim and Alessandro Piva",
booktitle = "Digital Forensics and Watermarking - 17th International Workshop, IWDW 2018, Proceedings",
address = "德国",
}