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Volume 11
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10.3390/sym11030395
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Article

Adaptive Edge Preserving Weighted Mean Filter for Removing Random-Valued Impulse Noise

by
Nasar Iqbal
1,
Sadiq Ali
1,
Imran Khan
1 and
Byung Moo Lee
2,*
1
Department of Electrical Engineering, University of Engineering and Technology, P.O. Box. 814, Peshawar 25120, Pakistan
2
School of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(3), 395; https://doi.org/10.3390/sym11030395
Submission received: 23 January 2019 / Revised: 13 March 2019 / Accepted: 14 March 2019 / Published: 18 March 2019
(This article belongs to the Special Issue Symmetry in Engineering Sciences)
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Abstract

This paper proposes an adaptive noise detector and a new weighted mean filter to remove random-valued impulse noise from the images. Unlike other noise detectors, the proposed detector computes a new and adaptive threshold for each pixel. The detection accuracy is further improved by employing edge identification stage to ensure that the edge pixels are not incorrectly detected as noisy pixels. Thus, preserving the edges avoids faulty detection of noise. In the filtering stage, a new weighted mean filter is designed to filter only those pixels which are identified as noisy in the first stage. Different from other filters, the proposed filter divides the pixels into clusters of noisy and clean pixels and thus takes into only clean pixels to find the replacement of the noisy pixel. Simulation results show that the proposed method outperforms state-of-the-art noise detection methods in suppressing random valued impulse noise.
Keywords: adaptive threshold; clustering; edge preserving; noise detector; random value impulse noise; weighted mean filter adaptive threshold; clustering; edge preserving; noise detector; random value impulse noise; weighted mean filter

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MDPI and ACS Style

Iqbal, N.; Ali, S.; Khan, I.; Lee, B.M. Adaptive Edge Preserving Weighted Mean Filter for Removing Random-Valued Impulse Noise. Symmetry 2019, 11, 395. https://doi.org/10.3390/sym11030395

AMA Style

Iqbal N, Ali S, Khan I, Lee BM. Adaptive Edge Preserving Weighted Mean Filter for Removing Random-Valued Impulse Noise. Symmetry. 2019; 11(3):395. https://doi.org/10.3390/sym11030395

Chicago/Turabian Style

Iqbal, Nasar, Sadiq Ali, Imran Khan, and Byung Moo Lee. 2019. "Adaptive Edge Preserving Weighted Mean Filter for Removing Random-Valued Impulse Noise" Symmetry 11, no. 3: 395. https://doi.org/10.3390/sym11030395

APA Style

Iqbal, N., Ali, S., Khan, I., & Lee, B. M. (2019). Adaptive Edge Preserving Weighted Mean Filter for Removing Random-Valued Impulse Noise. Symmetry, 11(3), 395. https://doi.org/10.3390/sym11030395

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