Abstract
Celestial sources are studied by means of mul- tispectral analysis, for which a pixel value can be consid- ered as a mixture of dierent sources. We show that the application of blind source separation methods can dis- play interesting features, which can help astronomers to improve their description of celestial sources. Experiments were carried out on Hubble Space Telescope images of the galaxy 3C 120. Dierent separation methods were applied, either based on the source correlation, or on non-Gaussian probability density functions. Each obtained source set was quantied by the mutual information between the sources. Dierent algorithms give quite similar decompo- sitions which mainly correspond to real phenomena.
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