PERFORMANCE ANALYSIS OF A MODIFIED DECOMPOSITION FILTER FOR NON IDENTICAL NOISES

The proposed work aims in the restoration of images corrupted by Gaussian noise, impulse noise. The new algorithm significantly removes different noises and produce better image quality than standard median filter (SMF), Centre weighted median filter (CWF) and threshold decomposition filter (TDF).The proposed algorithm (PA) is tested on different images corrupted by all two noises and is found to produce better results in terms of the qualitative and quantitative measures of the image for noise densities up to 30% noise level for impulse noise, mean zero and 0.9% variance of Gaussian noise. The filter works well for speckle noise up to 0.8% variance.