Tri-state median filter for image denoising

  • Authors:
  • Tao Chen;Kai-Kuang Ma;Li-Hui Chen

  • Affiliations:
  • Sch. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic.;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 1999

Quantified Score

Hi-index 0.02

Visualization

Abstract

A novel nonlinear filter, called tri-state median (TSM) filter, is proposed for preserving image details while effectively suppressing impulse noise. We incorporate the standard median (SM) filter and the center weighted median (CWM) filter into a noise detection framework to determine whether a pixel is corrupted, before applying filtering unconditionally. Extensive simulation results demonstrate that the proposed filter consistently outperforms other median filters by balancing the tradeoff between noise reduction and detail preservation