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http://dx.doi.org/10.6109/jkiice.2021.25.2.202

Image Restoration using Weighted Octagonal Median Filter  

Lee, Eun-Young (Dept. of Information and Communications Engineering, Mokpo National University)
Na, Cheol-Hun (Dept. of Information and Communications Engineering, Mokpo National University)
Lee, Eun-Kyung (Dept. of Automotive Engineering, Honam University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.2, 2021 , pp. 202-207 More about this Journal
Abstract
One of the most important tasks in image processing is noise filtering. Noise removal in image is a difficult task due to many reasons such as nonstationary sequences and corrupted by various types of noise. Human's visual perception is heavily based on the edge information. Thus, noise filtering must preserve edges. To remove the noise, we usually use the square-shaped median filter. They possess mathematical simplicity but have the disadvantages that blur the edges. In this paper we consider a new technique for image restoration using a weighted octagonal median filter. The technique consists of simple hypothesis test for edge detection, and we use the weighted octagonal-shaped moving window. The new technique is applied to noise corrupted image and experimental results are compared to the results of the square-shaped median filter and the cross-shaped median filter.
Keywords
Image restoration; Median filter; Edge detection; Weighted octagonal filter;
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