題目：一種使用邊匹配矢量量化用來隱藏秘密數據的隱寫要领
報告人：張真誠，台灣中正大學榮譽教授、台灣清華大學合聘教授
時間：2019年6月11日13:30
地點：立人樓A104

主要內容簡介：

To improve the embedding capacity and the reconstruction quality of stego-image in vector quantization (VQ)-based information-hiding scheme, I will introduce a novel information-hiding scheme to embed secrets into side match vector-quantization (SMVQ) compressed code. First, a host image is partitioned into non-overlapping blocks where VQ is adopted without hiding secrets. Then, for each of the residual blocks, SMVQ or VQ is employed according to the smoothness of the block. Finally, compressed codes represent both the host image and secret data. The proposed scheme can achieve better performance against other VQ-based methods in terms of the embedding capacity and reconstruction quality.

主講人簡介：
张真诚教授，国际电子电机工程师学会会士(IEEE Fellow)与英国电机工程师学会会士(IET Fellow)。曾任台湾中兴大学教授，台湾清华大学教授，台湾中正大学教授等职。现任台湾逢甲大学讲座教授，台湾中正大学荣誉教授和台湾清华大学合聘教授。