In this paper mode filtering of color images is explored. An existing framework based on local histograms is extended to multi-channel images. Within this framework three color mode operations are proposed; 1. Global mode operation for edge sharpening, noise reduction and small object removal, 2. Constrained mode operation for white noise filtering while preserving detail, and 3. Uncertain data mode filtering to incorporate prior knowledge about the certainty of the measurements into the mode computation. Results obtained for a variety of images indicate the feasibility of color mode filtering.
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