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An improved median filter.

P K Sinha1, Q H Hong

  • 1Dept. of Eng., Reading Univ.

IEEE Transactions on Medical Imaging
|January 1, 1990
PubMed
Summary
This summary is machine-generated.

A novel three-stage filtering algorithm enhances image smoothing while preserving edges. This modified median filter improves noise reduction, outperforming conventional methods near image boundaries.

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Area of Science:

  • Image processing
  • Digital signal processing

Background:

  • Conventional median filters excel at preserving image edges but have limitations in noise reduction.
  • Mean filters offer superior noise reduction, particularly in uniform regions, but struggle with edge preservation.

Purpose of the Study:

  • To present a modified median filtering technique that combines the noise reduction strengths of mean filters with the edge-preserving capabilities of median filters.
  • To introduce a novel three-stage filtering algorithm for enhanced image smoothing.

Main Methods:

  • A three-stage filtering algorithm is developed, leveraging observations about the performance of mean and median filters at and near image boundaries.
  • The algorithm modifies the conventional median filter to improve its smoothing performance.

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Main Results:

  • The modified median filtering technique demonstrates improved smoothing performance compared to conventional median filters.
  • The algorithm successfully maintains the edge-preserving ability characteristic of median filters.
  • The study highlights the superior noise reduction of mean filters in non-boundary regions.

Conclusions:

  • The proposed modified median filtering technique offers a robust solution for image noise reduction while effectively preserving important image features.
  • The three-stage algorithm provides a practical approach to enhance image quality in digital signal processing applications.