Title :
An image BSS algorithm based on curvelet transform
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai
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;
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
DOI :
10.1109/ICALIP.2008.4590186
