Optimization of Weighted Vector Directional Filters Using an Interactive Evolutionary Algorithm

Weighted vector directional filters are used to enhance multichannel image data and have attracted a lot of interest from researchers in the image processing community. This paper describes a novel method for deriving the weights of a vector directional filter that uses an interactive evolution strategy. We performed an empirical study in which 30 participants each developed two filters using our approach. Each participant compared the performance of his/her filters to the basic vector directional filter and a filter that had previously been developed using a genetic algorithm. Of the filters studied, our interactive approach was the most effective at removing salt and pepper noise for the case when the percentage of corrupt image pixels was low.