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

fYear

2009

fDate

7-9 March 2009

Firstpage

275

Lastpage

278

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);

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Image Processing, 2009 International Conference on

Conference_Location

Bangkok

Print_ISBN

978-0-7695-3565-4

Type

conf

DOI

10.1109/ICDIP.2009.53

Filename

5190574