时间：2019年9月24日（星期二）上午10：00
地点：院楼626（新编号）
报告内容:
本报告涵盖图像隐写与图像共享两种技术，可广泛应用于数字媒体，特别是数字图像。基于纠错码的信息隐藏旨在提高信息嵌入率并且同时减少修改的比特位数。本报告简要阐述利用Hamming-like, Hamming+1, Hamming+k, Golay+1, Golay+2和不等效错误保护码(UEP)等的图像信息隐藏技术，包括像素域、频域和AMBTC压缩域。另一主题是基于纠错码的秘密图像共享。所谓的(k, n)秘密图像共享是将秘密图像分享成n个子图像，并且可以从任何k个子图像恢复秘密图像。但是，不能从（k-1）或更少的子图像获得任何秘密信息。本报告阐述基于里德-所罗门码(RS code)的秘密图像共享，并讨论基于RS码的密图像共享和基于多项式密图像共享的关系。
讲者:台湾东华大学杨庆隆教授
个人简历:请参阅http://sna.csie.ndhu.edu.tw/~cnyang/PDF/james_resume.pdf
讲者简介:
Professor Ching-Nung Yangobtained his Ph. D. degree in Electrical Engineering from National Cheng Kung University. His B.S. and M.S. degrees, both were awarded in Department of Telecommunication Engineering from National Chiao Tung University. Dr. Yang served in National Dong Hwa University since 1999. His current title is Professor in Department of Computer Science and Information Engineering. He had been Visiting Professor to University of Missouri Kansas City, University of Milan, and University of Tokyo. He is currently a Fellow of IET (IEE) and an IEEE senior member. Professor Yang has done extensive researches on visual cryptography and secret image sharing, and is the chief scientist in both areas. In fact, a very important innovation of visual cryptography, the probabilistic visual cryptography, was firstly proposed by Professor Yang. His areas of interest include error correcting code, multimedia security, cryptography, and information security. He has authored two books and has published over 250 (including more than 120 SCI-indexed papers) professional research papers in the areas of information security and coding theory. In the meantime, he has served/is serving in international academic organizations. He serves as technical reviewers for over 40 major scientific journals in the areas of his expertise, and serves as editorial boards and editors of special issues for some journals. Also, he was invited as chairs, keynote speakers, and members of program committees for various international conferences. He is the recipient of the 2000, 2006, 2010, 2012, and 2014 Fine Advising Award in the Thesis of Master/PhD of Science awarded by Institute of Information & Computer Machinery.
