Order statistics filters for color imaging

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The design of multichannel filters, for example color imaging demands different objectives: noise suppression, chromaticity retention, and fine detail preservation. We propose a new class of multichannel filters, vector rank M-type K-nearest neighbor (VRMKNNF) filters to satisfy these objectives. The VRMKNNF filters are based on the combined RM-estimators with different influence functions. Also, we proposed using an adaptive non parametric approach to improve the performance of the filtering. The novel filter called adaptive multichannel non parametric VRMKNNF (AMN-VRMKNNF) filter has been investigated and presented in the paper. The VRMKNNF and AMN-VRMKNNF filters can successfully satisfy mentioned objectives, and also possess the robust and adaptive capability in color imaging applications. The simulation results demonstrate that the performance of proposed filters surpasses other existing filtering techniques. We also present the real-time implementation of proposed filters on the DSP TMS320C6711 demonstrating that they potentially provide a real-time solution to quality video transmission.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Circuits, Signals, and Systems
EditorsM.H. Rashid
Pages261-266
Number of pages6
StatePublished - 2004
EventProceedings of the IASTED International Conference on Circuits, Signals, and Systems - Clearwater Beach, FL, United States
Duration: 28 Nov 20041 Dec 2004

Publication series

NameProceedings of the IASTED International Conference on Circuits, Signals, and Systems

Conference

ConferenceProceedings of the IASTED International Conference on Circuits, Signals, and Systems
Country/TerritoryUnited States
CityClearwater Beach, FL
Period28/11/041/12/04

Keywords

  • Color imaging
  • Impulsive noise
  • Multichannel processing

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