@Article{JICS-6-143,
author = {Hongbo Chen and Zhencheng Chen},
title = {Noise Separation from Multiple Copy Images Using the FastICA Algorithm},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {6},
number = {2},
pages = {143--151},
abstract = {This paper proposes an effective method to separate noise from multiple copy images (MCIs). 
Suppose that noise and original image are mutually independent in mixed signals, the mixed signals are thus 
decomposed to an original image independent component and a noise component by using fast independent 
component  analysis  (FastICA).  The  original  image  independent  component  is  selected  to  reconstruct  the 
resulting image according to the standard deviation of its time course. By  modeling the noise as Gaussian, 
experimental  results  show  that  zero-mean  and  nonzero-mean  Gaussian  noises  can  be  separated  effectively 
from  multiple  copy  images  by  the  proposed  method,  which  is  effective  in  the  case  of  stable  and  unstable 
noise intensity. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22687.html}
}