﻿<?xml version="1.0" encoding="UTF-8"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>American Journal of Modeling and Optimization</journalTitle>
    <publicationDate>2014-06-11</publicationDate>
    <volume>2</volume>
    <issue>3</issue>
    <startPage>69</startPage>
    <endPage>72</endPage>
    <doi>10.12691/ajmo-2-3-1</doi>
    <publisherRecordId>AJMO2014231</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">A Robust De-Noising Model for Image Enhancement with Adaptive Median Filtering</title>
    <authors>
      <author>
        <name>M. Mozammel Hoque Chowdhury</name>
        <email>mozammel_ju@yahoo.com</email>
        <affiliationId>1</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh</affiliationName>
    </affiliationsList>
    <abstract language="eng">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.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/ajmo/2/3/1/ajmo-2-3-1.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>de-noising model</keyword>
      <keyword>image enhancement</keyword>
      <keyword>adaptive window</keyword>
      <keyword>adaptive median filter</keyword>
    </keywords>
  </record>
</records>