An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range

Main Article Content

Amiya Halder
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

Article Details

Com citar
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.