Efficiency Analysis of Adaptive Sequentially Weighted Median Filter (ASWMF) For Greatly Distorted Impulse Noise

On this noise destruction community, unusually the settle intensity impulsive noise (SIIN), the most recent noise destruction mechanism, which is broadly expressed by noise tracking-down mechanism and noise destruction mechanism, is an inescapable precedent mechanism that must be prosecuted in advance of the other perplex image processing mechanisms. The first contribution of this research work is the analysis determination of the max extreme number, which make the ASWMF mechanism the greatest efficiency for all-percentage noise propagation. By the precedent result (the optimal max extreme number), the second contribution of this research work is the analysis efficiency of the ASWMF mechanism for all-percentage noise propagation. The experiment section situationally analyzes the efficiency of the ASWMF noise destruction mechanism, which is one of the most recent noise destruction mechanisms, in comparison with other precedent noise destruction mechanisms like MF, SMF, and AMF for destructing the settle intensity impulsive noise (SIIN). In the 1<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> experimental analysis, plentiful corrupted portraitures, which are expressed of Girl, Lena and Pepper for all-percentage noise propagation, are examined by the noise destruction mechanism rested on ASWMF in order to estimate the optimal max extreme number for providing the greatest efficiency of the noise destruction perspective. In the 2<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nd</sup> experimental analysis, these corrupted portraitures are examined by the noise destruction mechanism rested on ASWMF, which is differentiate with other precedent noise destruction mechanisms like MF, SMF, and AMF.