In this article, we present a fast switching filter for impulsive noise removal from color images. The filter exploits the hue, saturation, and lightness color space and is based on the peer group concept, which allows for the fast detection of noise in a neighborhood without resorting to pairwise distance computations between each pixel. Experiments on large set of diverse images demonstrate that the proposed approach is not only extremely fast, but also gives excellent results in comparison to various state-of-the-art filters.