%0 Journal Article
%A JIA Huizhen
%A WANG Tonghan
%T Adaptive nonlinear filter for removing impulse noise based on mean
%D 2011
%R
%J Computer Engineering and Applications
%P 208-210
%V 47
%N 36
%X An adaptive nonlinear filter for removing impulse noise based on mean is proposed in the paper.The method works in this way：by noise detection，the pixels in image are divided into noise points and signal points and a noise label matrix is generated.It scans the noise label matrix，if the pixel is a signal point，the pixel intensity is directly input，otherwise，the size of filtering window is adaptively adjusted to the number of noise points in the window.It generates a difference matrix which is different between the pixel intensity in the filtering window and the mean of the pixel intensity in the filtering window，adaptively assigns weight value to the pixels of the difference matrix，and returns the min pixel of the weighted difference matrix.Its intensity replaces the intensity of the noise point.The algorithm of removing noise point finds the pixel which the position is near to the noise point in the space and the intensity is nearly to the mean of the pixels in the filtering window，then the pixel intensity replaces the noise intensity.The experiment shows that the filter has better filtering performance.

%U http://cea.ceaj.org/EN/abstract/article_27472.shtml