Weighted vector median operation for filtering multispectral data

Risto Wichman; Kai Oistamo; Qin Liu; Mika Grundstrom; Yrjo A. Neuvo

doi:10.1117/12.131455

1 November 1992 Weighted vector median operation for filtering multispectral data

Risto Wichman, Kai Oistamo, Qin Liu, Mika Grundstrom, Yrjo A. Neuvo

Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131455
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

Weighted vector median operation for filtering multispectral data is proposed. The operation shares the good qualities of vector median filters, and in addition, brings in extra freedom in the filter design. The proposed generalization of the vector median filters combines component weights, that facilitate the weighting of input signal channels separately, and distance weights that operate on the distances between the input vectors. With this structure the possible differences in the noise statistics in the different signal components can be taken into account. A number of computer simulations with color images is performed to study the properties of the new filtering scheme.

Citation Download Citation

Risto Wichman, Kai Oistamo, Qin Liu, Mika Grundstrom, and Yrjo A. Neuvo "Weighted vector median operation for filtering multispectral data", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131455

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