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Progressive switching median filter for the removal of impulse noise from highly corrupted images

Zhou Wang, David Zhang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

A new median-based filter, progressive switching median (PSM) filter, is proposed to restore images corrupted by salt-pepper impulse noise. The algorithm is developed by the following two main points: 1) switching scheme-an impulse detection algorithm is used before filtering, thus only a proportion of all the pixels will be filtered and 2) progressive methods-both the impulse detection and the noise filtering procedures are progressively applied through several iterations. Simulation results demonstrate that the proposed algorithm is better than traditional median-based filters and is particularly effective for the cases where the images are very highly corrupted. © 1999 IEEE.
Original languageEnglish
Pages (from-to)78-80
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Volume46
Issue number1
DOIs
Publication statusPublished - 1999
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to <a href="mailto:[email protected]">[email protected]</a>.

Funding

This work was supported in part by the UGC Fund, Hong Kong.

Research Keywords

  • Image enhancement
  • Impulse detection
  • Median filter
  • Nonlinear filter

RGC Funding Information

  • RGC-funded

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