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• W2169733476 abstract "The center weighted median (CWM) filter, which is a weighted median filter giving more weight only to the central value of each window, is studied. This filter can preserve image details while suppressing additive white and/or impulsive-type noise. The statistical properties of the CWM filter are analyzed. It is shown that the CWM filter can outperform the median filter. Some relationships between CWM and other median-type filters, such as the Winsorizing smoother and the multistage median filter, are derived. In an attempt to improve the performance of CWM filters, an adaptive CWM (ACWM) filter having a space varying central weight is proposed. It is shown that the ACWM filter is an excellent detail preserving smoother that can suppress signal-dependent noise as well as signal-independent noise.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
• W2169733476 created "2016-06-24" @default.
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• W2169733476 date "1991-01-01" @default.
• W2169733476 modified "2023-10-18" @default.
• W2169733476 title "Center weighted median filters and their applications to image enhancement" @default.
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• W2169733476 doi "https://doi.org/10.1109/31.83870" @default.
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