Title :
Astrophysical Image Separation Using Independent Component Analysis
Author :
Homayounzadeh, A. ; Yazdi, M. ; Shirazi, M. A Masnadi
Author_Institution :
Dept. of Electr. Eng., Shiraz Univ., Shiraz, Iran
Abstract :
In this paper an efficient method for separation of astrophysical radiations is proposed, which is based on independent component analysis (ICA). Each of the astrophysical radiation sources conveys useful information; however usually their mixtures are available. So separating these radiations from their mixtures is a necessity. As will be discussed, in this field the necessary assumptions of ICA are satisfied so it can be applied effectively. In addition some pre-processing is considered in the method to enhance the performance. Simulation results confirm the effectiveness of the method for this purpose.
Keywords :
astronomical image processing; astrophysical radiation mechanisms; blind source separation; independent component analysis; ICA; astrophysical radiation source; image separation; independent component analysis; Digital images; Extraterrestrial measurements; Independent component analysis; Matrix converters; Noise robustness; Pollution measurement; Principal component analysis; Signal processing; Signal processing algorithms; Temperature measurement; Cosmic Microwave Background (CMB); Image Separation; Independent Component Analysis (ICA); Principal Component Analysis (PCA);
Conference_Titel :
Digital Image Processing, 2009 International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-3565-4
DOI :
10.1109/ICDIP.2009.53
