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The Minimum Detectable Capacity of Digital Image Information Hiding.

Authors :
Wang, Jun
Yi, Zhang
Zurada, Jacek M.
Lu, Bao-Liang
Yin, Hujun
Zhang, Fan
Liu, Ruixin
Zhang, Xinhong
Source :
Advances in Neural Networks - ISNN 2006 (9783540344827); 2006, p279-284, 6p
Publication Year :
2006

Abstract

Information hiding capacity of digital image is the maximum information that can be hidden in an image. But the lower limit of information hiding, the minimum detectable information capacity is also an interesting problem. This paper proposes a method to analyze the minimum detectable capacity of information hiding in digital images based on the theories of attractors and attraction basin of neural network. The results of research show that the attractors of neural network decide the lower limit of information hiding. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540344827
Database :
Supplemental Index
Journal :
Advances in Neural Networks - ISNN 2006 (9783540344827)
Publication Type :
Book
Accession number :
32862412
Full Text :
https://doi.org/10.1007/11760191_41