Open AccessDesign of Exponentially Weighted Median Filter Cascaded With Adaptive Median Filter
Author(s) -
Praveen Kumar Nalli,
Kalyan Sagar Kadali,
Ramu Bhukya,
Y.T.R. Palleswari,
Asapu Siva,
S. Pragaspathy
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2089/1/012020
Subject(s) - median filter , weighted median , adaptive filter , mathematics , filter (signal processing) , algorithm , filter design , impulse noise , kernel adaptive filter , control theory (sociology) , computer science , artificial intelligence , image processing , computer vision , image (mathematics) , pixel , control (management)
The objective of this paper is to design an II phase algorithm employing median filters for enlightening the performance in removing impulse noise during the processing of the image. The cascaded filter section employs an Adaptive median filter in the first phase followed by a Recursive weighted median filter (RWM) in the second phase. The RWM filter weight is selected with the Median Controlled Algorithm. As a design parameter, the exponential weights of RWM filters are used in the feedback path. The projected algorithm can achieve suggestively improved quality of image when compared to fixed weight or the Center Weighted Median filters.