Adaptive linear combination of weighted medians

Kang Sun Choi, Aldo W. Morales, Sung Jea Ko

Research output: Contribution to journalConference articlepeer-review

Abstract

In our previous literature1, we proposed a class of nonlinear filters whose output is given by a linear combination of weighted medians (LCWM) of the input sequence. We showed that, unlike the median type filters having the lowpass response, the LCWM filters consisting of weighted median subfilters can not only suppress both Gaussian noise and impulsive noise effectively, but also offer various frequency characteristics including lowpass, bandpass, and highpass responses. In an attempt to improve the performance of LCWM filters, we propose an adaptive LCWM (ALCWM) filter which consists of directional weighted median subfilters with different geometric structures. The weighting factor of each subfilter is adaptively determined using the similarity between the directional subwindow and the local geometric image features of interest. It is shown experimentally that the ALCWM filter performs better than the aforementioned filters including the median and the LCWM filters in preserving more details.

Original languageEnglish (US)
Pages (from-to)484-492
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4667
DOIs
StatePublished - Jan 1 2002
EventImage Processing: Algorithms and Systems - San Jose, CA, United States
Duration: Jan 21 2002Jan 23 2002

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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