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This paper studies a image show-through problem. It happens often when we copy or scan a paper document, in which the image from the back page shows through. The images obtained on both side of the paper can be considered as mixture components, which are nonlinear mixtures of original images. In this study, we propose to use self-organizing map (SOM) and fastICA to implement separation of the image...
We propose an independent component analysis (ICA) approach which is robust against impulse noise. It consists of noise detection and image signal separation. We introduce a self-organizing map (SOM) network to determine if the observed image pixels are corrupted by noise. We mark each pixel to distinguish normal and corrupted ones. After that, we use one of two traditional ICA algorithms (fixed-point...
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