A new impulsive noise removal filter, adaptive dynamically weighted median filter (ADWMF), is proposed. A popular method for removing impulsive noise is a median filter whereas the weighted median filter and center weighted median filter were also investigated. ADWMF is based on weighted median filter. In ADWMF, instead of fixed weights, weightages of the filter are dynamically assigned with the results of noise detection. A simple and efficient noise detection method is also used to detect noise candidates and dynamically assign zero or small weights to the noise candidates in the window. This paper proposes an adaptive method which increases the window size according to the amounts of impulsive noise. Simulation results show that the AMWMF works better for both images with low and high density of impulsive noise than existing methods work.
The adaptive dynamically weighted median filter (ADWMF) REF estimates the intensity of noisy pixel by employing the weighted median of a neighborhood of adaptive size; the weighted operator employed is derived from Gaussian surface.
An adaptive dynamically weighted median filter for impulse noise removal
EURASIP Journal on Advances in Signal Processing
Computer Science