TOPOLOGICAL FILTER STRUCTURE USING GEOMETRICAL NOISE PREDICTION
Ali Abdulkadhum Ruhaima, Jamal Kamil K. Abbas, Dunya Mohee Hayder · Telecommunications and Radio Engineering · 2022
New techniques for noise reduction based on geometrical distribution of color image topology is presented. Triangular distribution supported by Monte Carlo simulation for prediction of impulse noise location on distorted images is used. The Geometrical prediction method is applied to the test images to predict the noise location. The distorted portions in the images predicted by this structure are improved by using a proper nonlinear filter. The nonlinear median filter is showing a suitable way for replacement of degraded pixel. The filter is not applied to the not-detected portions of the image to keep it unchanged and avoid the distortion of fine image details and important edges. Experimental results improved this structure comparing with classical noise reduction structures.