Weighted Vector Directional Filters Optimized by Genetic Algorithms

摘要

This paper focuses on genetic optimization and filtering efficiency of a recently developed class of Weighted Vector Directional Filters (WVDFs), which minimize the aggregated weighted angular distances between the samples contained in a sliding filtering window. As shown in the paper, the proposed genetically optimized WVDFs hold excellent detail preserving characteristics and are able to remove impulsive noise affecting color images.