An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range
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Amiya Halder
Department of Computer Science and Engineering,
St. Thomas College of Engineering and Technology,
4, D.H. Road, Kolkata - 700023.
This paper presents a salt-and-pepper noise removal scheme using modified mean filter. The proposed method is based on a simple basic concepts of mean filter, where each mean value is calculated from the mathematical formula of interquartile range (IQR). It replaces the noisy pixels using IQR based mathematical formula applied on the filter window. Experimental results are presented to demonstrate the efficiency (quality of the image) of the method compared to other existing different types of impulse noise removal techniques.
Paraules clau
Salt-and-pepper noise, Mean filter, IQR, Peak signal-to-noise ratio
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Halder, Amiya. «An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range». ELCVIA: electronic letters on computer vision and image analysis, 2019, vol.VOL 18, núm. 1, p. 76-91, https://raco.cat/index.php/ELCVIA/article/view/359026.