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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
A Novel Reversible Data Embedding Scheme Using Dissimilar Pairing for Palette-based Images
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论文类型：会议论文
发表时间：2009-05-16
收录刊物：EI、CPCI-S、Scopus
页面范围：569-+
关键字：Reversible data embedding; prediction; dissimilar
摘要：This paper presents a reversible data embedding scheme with prediction and dissimilar techniques for palette-based images. Two embedding rules are imported in the proposed method, and no extra bit map is required to indicate which rules are applied in which pixels to embed secrets. As the experimental results show, when the hiding capacity is 255 Kb, the visual quality of the decoded image for our proposed method is, on average, better than Fridrich's method, Tzeng et al.'s method, or Chan and Chang's method, which are 4 dB, 3 dB and 2 dB, respectively. With restoration ability, the visual quality of our proposed scheme outperforms these methods proposed previously.