NDLI: An Adaptive High-Capacity Steganographic Algorithm for 3D Models

Content Provider	IEEE Xplore Digital Library
Author	Qi Ke Xie Dong-qing Zhang Da-fang
Copyright Year	2009
Abstract	In this paper, a new simple, adaptive, high-capacity steganographic algorithm for 3D models using contour theory in spatial domain is proposed. Every vertex of a 3D model can adaptively embed variable 3() bits using contour space subdivision and multi quantization index modulation(MQIM) with low distortion. We first use vertex weight estimation which is used to estimate the degree of smoothness or roughness properties of 3D model with respect to human visual system and adaptive embedding estimation to provide adaptive and high capacity, then contour space subdivision is used to project the vertex to contour plane, finally at least four bits can be embedded by multi QIM in a vertex. The experiment results show that the proposed technique is simple, adaptive and secure, has high capacity and low distortion, and is robust, so it is suitable for steganography of arbitrary 3D mesh models.
Starting Page	162
Ending Page	166
File Size	774846
Page Count	5
File Format	PDF
ISBN	9780769536880
DOI	10.1109/ITCS.2009.261
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-25
Publisher Place	Ukraine
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Steganography Solid modeling Visual system Spatial domain Humans Data encapsulation Educational institutions Robustness Information technology 3D models Principal component analysis
Content Type	Text
Resource Type	Article

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