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http://dx.doi.org/10.17662/ksdim.2021.17.2.001

Noise Reduction Algorithm of Salt-and-Pepper Using Reliability-based Weighted Mean Filter  

Kim, Donghyung (한양여자대학교 소프트웨어융합과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.17, no.2, 2021 , pp. 1-11 More about this Journal
Abstract
Salt and pepper is a type of impulse noise. It may appear due to an error in the image transmission process and image storage memory. This noise changes the pixel value at any position in the image to 0 (in case of pepper noise) or 255 (in case of salt noise). In this paper, we present an algorithm for SAP noise reduction. The proposed method consists of three steps. In the first step, the location of the SAP noise is detected, and in the second step, the pixel value of the detected location is restored using a weighted average of the surrounding pixel values. In the last step, a reliability matrix around the reconstructed pixels is constructed, and additional correction is performed with a weighted average using this. As a result of the experiment, the proposed method appears to have similar or higher objective and subjective image quality than previous methods for almost all SAP noise ratios.
Keywords
SAP noise; Median Filter; Adaptive Median Filter; AFSWMF; NAMF; Reliability Matrix; Reliability-based Weighted Mean Filter;
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