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
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Abstract

• Digital image filtering techniques
• Effectiveness of the median filter with
  different inputs.
• Scenery, objects, and people
• Criteria noise reduction and extent of blurring

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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.

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Larger Purpose

• Processing and enhancing digital images
• The effectiveness of the median filter on
  different images
• When to use the median filter
• Blurring effects

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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

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Median Filter

• Sliding window

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Development

• One module
• 3 by 3 sliding window
• Insertion Sort
• Ignores edges
• Noise introduction percent probabibility

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Sample Effects

• Noise reduction

• Noise reduction

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Sample Effects

• Blurring Effects

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Sample Effects

• Blurring Effects

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Conclusions

• Noise elimination equally effective
• Reduction in quality most severe in scenery
• Followed by people
• Objects least affected