Multispectral image smoothing guided by global distribution of pixel values

Multispectral images can be effectively smoothed by using the global distribution of pixel values to guide a local selective averaging process. After several iterations of this process, a typical image is virtually segmented into regions of constant value while significant edges in the image are preserved.