DocumentCode
2426168
Title
An image BSS algorithm based on curvelet transform
Author
Wang, Junhua
Author_Institution
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai
fYear
2008
fDate
7-9 July 2008
Firstpage
1035
Lastpage
1039
Abstract
A blind image separation algorithm based on curvelet transform is proposed in this paper. The image sparse representation based on MGA is used to get better sparse signal in transform field. The proposed algorithm is able to get separation matrix and separate received mixed images with a simple operation. The simulation results show the better separation precision and convergence rate of the proposed algorithm.
Keywords
curvelet transforms; image representation; blind image separation algorithm; curvelet transform; image BSS algorithm; image sparse representation; separation matrix; sparse signal; Biomedical engineering; Blind source separation; Convergence; Earthquakes; Frequency; Independent component analysis; Signal analysis; Source separation; Sparse matrices; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1723-0
Electronic_ISBN
978-1-4244-1724-7
Type
conf
DOI
10.1109/ICALIP.2008.4590186
Filename
4590186
Link To Document