1)
http://www.springerlink.com/content/771w5258677t85t4/
Watermarking Abstract Tree-Structured Data
系列書 Lecture Notes in Computer Science
出版社 Springer Berlin / Heidelberg
ISSN 0302-9743 (Print) 1611-3349 (Online)
卷 Volume 3739/2005
圖書 Advances in Web-Age Information Management
DOI 10.1007/11563952
版權 2005
ISBN 978-3-540-29227-2
文章類目 Research Session 5: Data Management (I)
DOI 10.1007/11563952_20
頁 221-232
Subject Collection 電腦科學
SpringerLink Date 2005年10月20日
Gang Chen , Ke Chen , Tianlei Hu and Jinxiang Dong
College of Computer Science, Zhejiang University, Hangzhou, 310027, P.R.China
Abstract
Digital watermarking techniques have been successfully applied in multimedia data such as image, audio, video, etc. With the rapid development of Internet, the requirement of copyright and integrity protection over semi-structured data, such as XML documents and complex hypertext content, is becoming more and more urgent. However, it is more challenging to apply the effective watermarking schemes into semi-structured data, because watermark for semi-structured data must have the dual protection feature toward both structure and content. In general, most semi-structured data can be represented as tree. Therefore, in this paper, we propose a novel watermark scheme for tree-structured data based on the value lying both in the tree structure and in the node content, which gives a comprehensive protection for both node content and structure of tree. The experiments on the robustness of the solution against various forms of attacks are conducted. The results highlight correctness and efficiency of our solution.
2)
http://cat.inist.fr/?aModele=afficheN&cpsidt=20601824
Titre du document / Document title
A Novel Tree Structure Based Watermarking Algorithm
Auteur(s) / Author(s)
LIN Qiwei (1) ; FENG Gui (1) ;
Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)
(1) Dept. of electronic and communication, HuaQiao University, QuanZhou, 362021, CHINE
Résumé / Abstract
In this paper, we propose a new blind watermarking algorithm for images which is based on tree structure. The algorithm embeds the watermark in wavelet transform domain, and the embedding positions are determined by significant coefficients wavelets tree(SCWT) structure, which has the same idea with the embedded zero-tree wavelet (EZW) compression technique. According to EZW concepts, we obtain coefficients that are related to each other by a tree structure. This relationship among the wavelet coefficients allows our technique to embed more watermark data. If the watermarked image is attacked such that the set of significant coefficients is changed, the tree structure allows the correlation-based watermark detector to recover synchronously. The algorithm also uses a visual adaptive scheme to insert the watermark to minimize watermark perceptibility. In addition to the watermark, a template is inserted into the watermarked image at the same time. The template contains synchronization information, allowing the detector to determine the geometric transformations type applied to the watermarked image. Experimental results show that the proposed watermarking algorithm is robust against most signal processing attacks, such as JPEG compression, median filtering, sharpening and rotating. And it is also an adaptive method which shows a good performance to find the best areas to insert a stronger watermark.
Revue / Journal Title
Proceedings of SPIE, the International Society for Optical Engineering ISSN 0277-786X CODEN PSISDG
Source / Source
Congrès
International Symposium on Photoelectronic Detection and Imaging 2007 : ( Image processing : 9-12 September 2007, Beijing China )
International Symposium on Photoelectronic Detection and Imaging, Beijing , CHINE (2007)
2008 , vol. 6623, pp. 66231W.1-66231W.7[Note(s) : various pagings, ] (11 ref.) ISBN 978-0-8194-6765-2 ; 0-8194-6765-0 ; Illustration : Illustration ;
Langue / Language
Anglais
Editeur / Publisher
Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, ETATS-UNIS (1981) (Revue)
SPIE, Bellingham, Wash., ETATS-UNIS (2008) (Monographie)
Mots-clés anglais / English Keywords
Correlation methods ; Wavelets ; Signal analysis ; Tree structured method ; Digital watermarking ; Tree structure ; Image processing ; Image compression ; Watermarking ; Experimental study ; Wavelet transforms ; Algorithms ; Signal processing ; Synchronization ;
Mots-clés français / French Keywords
4230V ; 0705P ; 0130C ; Méthode corrélation ; Ondelette ; Analyse signal ; Méthode arborescente ; Filigranage numérique ; Structure arborescente ; Traitement image ; Compression image ; Filigranage ; Etude expérimentale ; Transformation ondelette ; Algorithme ; Traitement signal ; Synchronisation ;
Mots-clés espagnols / Spanish Keywords
Análisis de señal ; Método arborescente ; Filigrana digital ; Estructura arborescente ; Compresión imagen ;
Localisation / Location
INIST-CNRS, Cote INIST : 21760, 35400017283301.0670
3)
使用三維模型來發展三維模型浮水印
4)
A Semi-Blind Watermarking Scheme for Color Images Using a Tree Structure
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