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A Noncausal Linear Prediction Based Switching Median Filter for the Removal of Salt and Pepper Noise

by Working at The Institute of Doctors Engineers and Scientists - IDES on Sep 27, 2012

  • 343 views

In this paper, we propose a switching based median ...

In this paper, we propose a switching based median
filter for the removal of impulse noise, namely, the salt and
pepper noise in gray scale images. The filter is based on the
concept of substitution of noisy pixels prior to estimation. It
effectively suppresses the impulse noise in two stages. First,
the noisy pixels are detected by using the signal dependent
rank-ordered mean (SD-ROM) filter. In the second stage, the
noisy pixels are first substituted by the first order 2D
noncausal linear prediction technique and subsequently
replaced by the median value. Extensive simulations are
carried out to validate the proposed method. Experimental
results show improvements both visually and quantitatively
compared to other switching based median filters for the
removal of salt-and-pepper noise at different densities.

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A Noncausal Linear Prediction Based Switching Median Filter for the Removal of Salt and Pepper Noise A Noncausal Linear Prediction Based Switching Median Filter for the Removal of Salt and Pepper Noise Document Transcript