A Robust De-Noising Model for Image Enhancement with Adaptive Median Filtering
Mozammel Chowdhury · American Journal of Modeling and Optimization · 2014
This paper presents a robust de-noising model for image enhancement using adaptive median filtering. In this approach image noise is detected with a standard median filter using an adaptive window. Within the window, the original value of the center pixel is changed to a newer that is closer to or same as the standard median. A comparison has been arranged among the proposed method, the standard median (SM) filter and the center weighted median (CWM) filter, which proves the superiority of the proposed filtering method.