Rank filters with adaptive length

Takis Kasparis, Qurban Memon, Revathi Koteeswaran

Research output: Contribution to journalConference articlepeer-review


In this paper rank filters of adaptive length will be presented. The filtering objective of these filters is the suppression of impulsive noise while preserving as much image detail as possible, and also high computational efficiency. In the proposed scheme the window size and shape are adaptively adjusted based on the amount of impulsive noise in an initial starting window. Using smaller windows increases the computational efficiency. To further improve the computational efficiency, median data blocks are used. The loss of image detail is prevented by an adaptive algorithm. Filtering examples demonstrating noise suppression, detail preservation, and computational efficiency are presented.

Original languageEnglish
Pages (from-to)256-266
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - Jun 24 1994
Externally publishedYes
EventVisual Information Processing III 1994 - Orlando, United States
Duration: Apr 4 1994Apr 8 1994

ASJC Scopus subject areas

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


Dive into the research topics of 'Rank filters with adaptive length'. Together they form a unique fingerprint.

Cite this