An Implementation of the Median Filter and Its Effectiveness on Different Kinds of Images - PowerPoint PPT Presentation

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An Implementation of the Median Filter and Its Effectiveness on Different Kinds of Images

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  1. 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

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

  3. 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.

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

  5. 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

  6. Median Filter • Sliding window

  7. Development • One module • 3 by 3 sliding window • Insertion Sort • Ignores edges • Noise introduction – percent probabibility

  8. Sample Effects • Noise reduction • Noise reduction

  9. Sample Effects • Blurring Effects

  10. Sample Effects • Blurring Effects

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