Based on psychological distance

a spatial-distance weighting function is presented to quantify the influence of spatial distances on filtering effect. Combining this formula with the traditional Directional-Distance Filter(DDF)

a new filter

Adaptive spatial Distance-weighted Directional-distance Filter (ADWDDF)

is proposed. The experimental results show that the new filter

compared with the traditional DDF and several other representative vector filters

provides better performance and filtering effect on noise attenuation

chromaticity retention

and edge or detail preservation. In particular

when the contaminated rate is not larger than 10%

the proposed algorithm provides a significant performance improvement with a decrease of about 1/3 in Normalized Mean Square Error(NMSE) and a decrease of more than 50% in Normalized Color Difference(NCD) averagely

compared with the traditional DDF.