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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...
Switching schemes have been studied for removing impulse noise. As a switching scheme, pixel-wise median of the absolute deviations from the median (PWMAD) detector was proposed. Since PWMAD detector uses only a single parameter, it is easy to optimize a parameter. However, PWMAD detector can not detect noisy pixels accurately when noisy pixels exist in neighborhood of edge pixels. In this paper,...
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