Title
Nonnegative Matrix Factorization Applied to Nonlinear Speech and Image Cryptosystems
Abstract
Nonnegative matrix factorization (NMF) is widely used in signal separation and image compression. Motivated by its successful applications, we propose a new cryptosystem based on NMF, where the nonlinear mixing (NLM) model with a strong noise is introduced for encryption and NMF is used for decryption. The security of the cryptosystem relies on following two facts: 1) the constructed multivariable...
Year
DOI
Venue
2008
10.1109/TCSI.2008.918233
IEEE Transactions on Circuits and Systems I: Regular Papers
Keywords
Field
DocType
Speech,Cryptography,Source separation,Information security,Blind source separation,Independent component analysis,Image coding,Signal processing,Image reconstruction,Data security
Cipher,Cryptography,Matrix decomposition,Theoretical computer science,Encryption,Cryptosystem,Non-negative matrix factorization,Invertible matrix,Blind signal separation,Mathematics
Journal
Volume
Issue
ISSN
55
8
1549-8328
Citations 
PageRank 
References 
10
0.57
25
Authors
3
Name
Order
Citations
PageRank
Shengli Xie12530161.51
Zu-yuan Yang231224.12
Yuli Fu320029.90