A high capacity 3D steganography algorithm

Min Wen Chao; Chao Hung Lin; Cheng Wei Yu; Tong Yee Lee

doi:10.1109/TVCG.2008.94

A high capacity 3D steganography algorithm

Min Wen Chao, Chao Hung Lin, Cheng Wei Yu, Tong Yee Lee

Research output: Contribution to journal › Article › peer-review

71 Citations (Scopus)

Abstract

In this paper, we present a very high-capacity and low-distortion 3D steganography scheme. Our steganography approach is based on a novel multi-layered embedding scheme to hide secret messages in the vertices of 3D polygon models. Experimental results show that the cover model distortion is very small as the number of hiding layers ranges from 7 to 13 layers. To the best of our knowledge, this novel approach can provide much higher hiding capacity than other state-of-the-art approaches, while obeying the low distortion and security basic requirements for steganography on 3D models.

Original language	English
Article number	4564452
Pages (from-to)	274-284
Number of pages	11
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	15
Issue number	2
DOIs	https://doi.org/10.1109/TVCG.2008.94
Publication status	Published - 2009 Mar

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design

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10.1109/TVCG.2008.94

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title = "A high capacity 3D steganography algorithm",

abstract = "In this paper, we present a very high-capacity and low-distortion 3D steganography scheme. Our steganography approach is based on a novel multi-layered embedding scheme to hide secret messages in the vertices of 3D polygon models. Experimental results show that the cover model distortion is very small as the number of hiding layers ranges from 7 to 13 layers. To the best of our knowledge, this novel approach can provide much higher hiding capacity than other state-of-the-art approaches, while obeying the low distortion and security basic requirements for steganography on 3D models.",

author = "Chao, {Min Wen} and Lin, {Chao Hung} and Yu, {Cheng Wei} and Lee, {Tong Yee}",

note = "Funding Information: This work is supported in part by the National Science Council (Contracts NSC-95-2221-E-006-193-MY2, NSC-96-2628-E-006-200-MY3, and NSC-96-2221-E-006-312-MY2), Taiwan, and in part by the Landmark Program of the NCKU Top University Project (Contracts B0008 and C0038). The authors would like to thank the anonymous reviewers for their insightful comments that help us improve this paper. The authors would also like to thank AIM@SHAPE Shape Repository, Stanford 3D Scanning Repository and Cyberware for the 3D polyhedral models used in this paper.",

year = "2009",

month = mar,

doi = "10.1109/TVCG.2008.94",

language = "English",

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journal = "IEEE Transactions on Visualization and Computer Graphics",

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AU - Chao, Min Wen

AU - Lin, Chao Hung

AU - Yu, Cheng Wei

AU - Lee, Tong Yee

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PY - 2009/3

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N2 - In this paper, we present a very high-capacity and low-distortion 3D steganography scheme. Our steganography approach is based on a novel multi-layered embedding scheme to hide secret messages in the vertices of 3D polygon models. Experimental results show that the cover model distortion is very small as the number of hiding layers ranges from 7 to 13 layers. To the best of our knowledge, this novel approach can provide much higher hiding capacity than other state-of-the-art approaches, while obeying the low distortion and security basic requirements for steganography on 3D models.

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A high capacity 3D steganography algorithm

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