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S. J. Ko and Y.H Lee, “Center weighted median filters and their applications to image enhancement,” IEEE Transactions on Circuits and Systems, Vol. 38, pp. 984-993, 1991.

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.

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