A threshold based Directional Weighted Median Filter for Removal of Random Impulses in thermal images

In this paper a Threshold based Directional Weighted Median (TDWM) Filter for Removal of Random valued Impulse Noises (RVIN) from digital and Infrared Images, has been proposed. This filter works in two phases; at first it detects the impulses, and then replaces the pixels affected with impulses by an estimated value. This filter works efficiently in suppressing impulses from both digital images and infrared images highly corrupted with random valued impulses. Extensive simulations show that proposed filter provides better results than existing filters in suppressing impulses.