VQ image steganographic method with high embedding capacity using multi-way search approach

Chin Chen Chang, Chih Yang Lin, Yu Zheng Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Embedding large quantities of data in VQ (Vector Quantization) images is a thorny problem, since the hiding schemes usually have to change the index values of the VQ images, which might cause serious image distortion. As a result, many currently existing methods can only afford to support a small embedding capacity. In this article, we shall propose a new method that uses the genetic clustering technique on the codebook to obtain better clusters so that the replacement distortion of indices can be reduced. Then, we apply multi-way search to hide the secret data. Experimental results show that our new method outperforms existing schemes on both image quality and embedding capacity.

原文???core.languages.en_GB???
主出版物標題Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
發行者Springer Verlag
頁面1058-1064
頁數7
ISBN(列印)3540288961, 9783540288961
DOIs
出版狀態已出版 - 2005
事件9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
持續時間: 14 9月 200516 9月 2005

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3683 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
國家/地區Australia
城市Melbourne
期間14/09/0516/09/05

指紋

深入研究「VQ image steganographic method with high embedding capacity using multi-way search approach」主題。共同形成了獨特的指紋。

引用此