Image enhancement using the median and the interquartile distance

Irwin Scollar, Bernd Weidner, Thomas S. Huang

Research output: Contribution to journalArticlepeer-review


Enhancement and noise cleaning algorithms based on local medians and interquartile distances are more effective than those using local means and standard deviations for the removal of spikelike noise, preserve edge sharpness better, and introduce fewer artifacts around high contrast edges present in the original data. They are usually not as fast as the mean-standard deviation equivalents, but all are suitable for large data sets to be treated in small machines in production quantities.

Original languageEnglish (US)
Pages (from-to)236-251
Number of pages16
JournalComputer Vision, Graphics and Image Processing
Issue number2
StatePublished - Feb 1984

ASJC Scopus subject areas

  • General Environmental Science
  • General Engineering
  • General Earth and Planetary Sciences


Dive into the research topics of 'Image enhancement using the median and the interquartile distance'. Together they form a unique fingerprint.

Cite this