Article citationsMore >>

T. Loupas, W. N. McDicken, and P. L. Allan, “An adaptive weighted median filter for speckle suppression in medical ultrasonic images,” IEEE Transactions on Circuits and Systems, Vol. 36, Jan. 1989.

has been cited by the following article:

Article

A Robust De-Noising Model for Image Enhancement with Adaptive Median Filtering

1Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh


American Journal of Modeling and Optimization. 2014, Vol. 2 No. 3, 69-72
DOI: 10.12691/ajmo-2-3-1
Copyright © 2014 Science and Education Publishing

Cite this paper:
M. Mozammel Hoque Chowdhury. A Robust De-Noising Model for Image Enhancement with Adaptive Median Filtering. American Journal of Modeling and Optimization. 2014; 2(3):69-72. doi: 10.12691/ajmo-2-3-1.

Correspondence to: M.  Mozammel Hoque Chowdhury, Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh. Email: mozammel_ju@yahoo.com

Abstract

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.

Keywords