Abstract:

Aiming at the noise sensitivity of blind source separation for mixed images based on the clustering sparse component analysis, a blind source separation method for mixed images with additive white Gaussian noise is proposed. The noise intensity in mixed image is evaluated by correlation coefficients between mixed image and noise image, then via sparse component analysis, the original images are separated from denoising mixed images. Experiment shows that the presented algorithm can remove the noise effectively, and extract the original images accurately from overlying noise mixed images. 

Key words: sparse component analysis, blind source separation, additive white Gaussian noise