An implementation of the median filter and its effectiveness on different kinds of images
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An Implementation of the Median Filter and Its Effectiveness on Different Kinds of Images. Kevin Liu 2006-2007 Thomas Jefferson High School for Science and Technology. Abstract. Digital image filtering techniques Effectiveness of the median filter with different inputs.

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An implementation of the median filter and its effectiveness on different kinds of images
An Implementation of the Median Filter and Its Effectiveness on Different Kinds of Images

Kevin Liu

2006-2007

Thomas Jefferson High School for Science and Technology


Abstract

  • Digital image filtering techniques

  • Effectiveness of the median filter with different inputs.

  • Scenery, objects, and people

  • Criteria: noise reduction and extent of blurring


Introduction and

Background

  • Digital image processing first developed in the 1960's

  • Clear out noise or useless and distracting information in pictures

  • Missing pixels and wrong pixels

  • Inevitable when converting analog information into a digital form

  • transmission of image files from one location to another through physical mediums or through wireless communication.


Larger Purpose

  • Processing and enhancing digital images

  • The effectiveness of the median filter on different images

  • When to use the median filter

  • Blurring effects


Procedures and Methods

  • Varying intensity – size of window

  • Java – low number of Java classes

  • Noise introduction Module

  • Objects, people, scenery

  • Noise elimination quality

  • Extent of reduction in quality


Median Filter

  • Sliding window


Development

  • One module

  • 3 by 3 sliding window

  • Insertion Sort

  • Ignores edges

  • Noise introduction – percent probabibility


Sample Effects

  • Noise reduction

  • Noise reduction


Sample Effects

  • Blurring Effects


Sample Effects

  • Blurring Effects


Conclusions

  • Noise elimination equally effective

  • Reduction in quality most severe in scenery

  • Followed by people

  • Objects least affected


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