提出了一个基于心理距离的空间距离加权公式,并结合传统的距离方向滤波器(DDF),构造出相应新的基于空间距离加权的自适应距离方向滤波器。实验表明,新的距离方向滤波器在抑制脉冲噪声、保持色调、保护细节或边缘方面,胜过传统的DDF和其它几个典型的矢量滤波器,特别是在低污染率的情况下(小于10%),其归一化均方误差(NMSE)平均减少了1/3之多,而其归一化色彩误差(NCD)则减少到原来的50%以下。
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 Directlonal-dlstance 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.