Order-Statistic Filters in Dynamic Image Sequences

Abstract

This paper is concerned with filtering methods in dynamic image sequences corrupted by impulsive noise. Spatial filters based on order statistics are well known. However, image sequences can be considered as spatiotemporal data that is a time sequence of two-dimensional (2D) images. Thus, in many applications temporal or spatiotemporal filters achieve well performance of noise suppression. Impulse detector can improve the obtained results. Two new spatiotemporal structures of SDV detector are introduced. The analysis of various filtering methods is presented. The performance of the proposed methods is evaluated through subjective and objective criteria, and a new objective criterion was developed.