Paper Info
Title
Image encryption based on compressed sensing and blind source separation
Abstract
A novel image encryption scheme based on compressed sensing and blind source separation is proposed in this work, where there is no statistical requirement to plaintexts. In the proposed method, for encryption, the plaintexts and keys are mixed with each other using a underdetermined matrix first, and then compressed under a project matrix. As a result, it forms a difficult underdetermined blind source separation (UBSS) problem without statistical features of sources. Regarding the decryption, given the keys, a new model will be constructed, which is solvable under compressed sensing (CS) frame. Due to the usage of CS technology, the plaintexts are compressed into the data with smaller size when they are encrypted. Meanwhile, they can be decrypted from parts of the received data packets and thus allows to lose some packets. This is beneficial for the proposed encryption method to suit practical communication systems. Simulations are given to illustrate the availability and the superiority of our method.
Year
DOI
Venue
2014
10.1109/IJCNN.2014.6889635
IJCNN
Keywords
Field
DocType
data packets,image coding,cryptography,image encryption,ubss,cs frame,plaintexts,project matrix,compressed sensing,blind source separation,underdetermined blind source separation,sparse matrices,image reconstruction,image segmentation,encryption
Underdetermined blind source separation,Computer science,Matrix (mathematics),Communications system,Encryption,Artificial intelligence,Blind signal separation,Compressed sensing,Computer vision,Pattern recognition,Underdetermined system,Network packet,Algorithm
Conference
ISSN
Citations 
PageRank 
2161-4393
0
0.34
References 
Authors
13
3
Name
Order
Citations
PageRank
Zu-yuan Yang131224.12
Yong Xiang2113793.92
Chuan Lu300.68