Recovery of Images from a Mixture with Multiplicative Noise
نویسندگان
چکیده
The use of independent component analysis (ICA) in coherent images needs to take into account the presence of the multiplicative noise that exits in this kind of images. In this paper, the recovery of original images from a mixture contaminated with this type of noise is studied using the ICA ideas. The mixing matrix is obtained using the fourth order multiplicative ICA method, which extracts the mixture before removing the noise. The result is a noisy version of the original images, where the effect of other images is reduced. The quality of the images is finally improved with the used of a multiplicative noise removal method. The proposed approach is compared with the direct use of ICA method over the noisy mixture or a denoise version of it, using simulated images.
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