Application of modified adaptive median filter for impulse noise
Yan Chenguang, Yujing Liu · 2010
In this paper, basing on the statistical features of the image, we propose a modified adaptive median filter (MAMF) for removal of impulse noise, especially for the high-density impulse noises. To avoid the shortcoming of the adaptive median filter (AMF) and the adaptive threshold median filter (ATMF), this method has been designed by combining the AMF with the Decision-Based Algorithm (DBA). From the result, the MAMF method is superior to the conventional methods in the impulse noise, especially for the intermediate-density and high-density noise, providing a quite stable performance over a wide variety of density of noise. Meanwhile, the downward tendency of the PNSR value of MAMF is gentler, with the higher quality than the DBA and the AMF.