Image-denoising Method based on Generalized Morphological Filter
Shengyou Qian · Communications technology · 2010
For pear effect of the present denoising methods in strong-noise environment,and based on improvement of the morphological erosion operater and dilation operator,an improved image de-noising method based on generalized morphological filtering is proposed.Firstly,the polluted image pixel is determined by the gray value,which is the maximum or minimum value in the neighboring domain,3×3,and then the polluted pixel is handled by the improved generalized morphological filter.Simulation results show that this method has a 4 dB performance improvement as compared with the median filter when the image is severely polluted.