In this paper, we propose a new approach for detecting and removing impulse noise. The method uses the new framework of cloud filtering for detecting noise locations. This new framework use efficient mathematical tools to filter with sets of filters rather than with a single one. Once a (very) noisy pixel is detected, its illumination is estimated by an extension of the median filtering applied on the neighborhood defined by the cloud. Experiments on various images demonstrate the capacity of the algorithm to identify noisy pixels (especially at low noise rate) while well preserving image edges.