American Journal of Modeling and Optimization
ISSN (Print): 2333-1143 ISSN (Online): 2333-1267 Website: http://www.sciepub.com/journal/ajmo Editor-in-chief: Dr Anil Kumar Gupta
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American Journal of Modeling and Optimization. 2014, 2(3), 69-72
DOI: 10.12691/ajmo-2-3-1
Open AccessArticle

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

M. Mozammel Hoque Chowdhury1,

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

Pub. Date: June 11, 2014

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

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:
de-noising model image enhancement adaptive window adaptive median filter

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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