In digital image and audio processing, the scalar median filter is very effective in removing impulse noise and preserves the edge in the signal. Neuvo extended the scalar median and introduced vector median, which processes the vector signal. Since the vector median utilizes the correlation between different components, it is better than componentwise scalar median for color image processing. In this paper, a new systolic array architecture for computing the vector median of a series of vector signals is proposed. In pipeline processing of a sequence of vector signals it can output a vector median every clock with clock time just about computing one multiplication.
Long-Wen Chang, Long-Wen Chang,
"New systolic array architecture for vector median filters", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334742; https://doi.org/10.1117/12.334742