【编者按语】

每年有许多硕士生、博士生涉足多媒体与AI安全，然而资料浩瀚、难以取舍，初学者往往摸不清头绪。针对这个问题，我们专门开设了一个栏目叫做“极简综述”，极简介绍某一方向的来龙去脉，相信这些他们一定可以对初学者有促进作用，帮助新一代年轻人成长，也是我们教育工作者义不容辞的使命！

JPEG隐写是多媒体安全研究中的一个重要方向，本期特地邀请集美大学的关晴骁老师，做关于JPEG隐写的极简综述，让初学者了解JPEG隐写发展以来的一些重要文献，便于大家找到快速入门的线索。其中，可能会有重要工作遗漏，欢迎本方向的科研工作者提出并补充，后续我们将进一步对本文进行更新（本文于20210330第一版，20210407得到修订）。

  “极简综述”计划已纳入“中国图象图形学会-CSIG数字取证与安全专委会”的学术活动计划。感谢所有撰稿人的支持！

作者简介：

关晴骁，于2006年毕业于湘潭大学自动化系，获学士学位，2013年毕业于中国科学技术大学自动化系，获博士学位。2013年~2018年，在中国科学院信息研究所任助理研究员、副研究员。2018年11月至今，任集美大学计算机工程学院副教授，主要从事多媒体安全领域的隐写术与隐写分析研究，在相关期刊和学术会议发表多篇论文，承担相关项目多项。

JPEG图像隐写极简综述

集美大学 关晴骁

（20210331上大王子驰、复旦钱振兴做部分补充修改，20210403信工大罗向阳做部分修订）

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[15]Yi Zhang, Xiangyang Luo, Chunfang Yang, Dengpan Ye, FenlinLiu. A JPEG-compression resistant adaptive steganography based on relativerelationship between DCT coefficients. Proceedings of the 10th InternationalConference on Availability, Reliability and Security. 2015:461-466.

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[20]Z. Yin and L. Ke, “Robustadaptive steganography based on dither modulation and modification withre-compression” IEEE Transactions on Signal andInformation Processing Over Networks, accept , arXiv, 2021,https://arxiv.org/abs/2007.08301v1.

[21]Yi Zhang, Xiangyang Luo, Yanqing Guo, Chuan Qin, Fenlin Liu.Multiple robustness enhancements for image adaptive steganography[J]. IEEETransactions on Circuits and Systems for Video Technology, 2020, 30(8):2750-2764.

（本文为作者原创，未经许可，不得转载到其它平台）

编者：复旦大学 钱振兴

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