Title :
Research of Image Separation Based on Improved Independent Component Analysis
Author :
Hou, Si-zu ; Wang, Ming ; Tian, Xin-cheng ; Wang, Xu ; Huang, Li-yan
Author_Institution :
Sch. of Electron. & Inf. Eng., North China Electr. Power Univ., Baoding
Abstract :
The basic theory of ICA and algorithm of FastiCA are briefly introduced. A variant of Newton´s iteration method is given. It is shown that the order of convergence of the new method is three. A new algorithm combined Newton´s iteration method is proposed to increase the convergence speed. The image separation simulation shows that the iterations of improved algorithm reduced 14.6 percent with the correspondent separation performance
Keywords :
Newton method; image processing; independent component analysis; ICA; Newton iteration method; image separation simulation; independent component analysis; Analytical models; Biomedical signal processing; Communication systems; Convergence; Data analysis; Independent component analysis; Power engineering and energy; Signal processing; Signal processing algorithms; Statistical analysis;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345599
