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http://dx.doi.org/10.5573/ieie.2017.54.6.65

Adjacent Pixels based Noise Mitigation Filter in Salt & Pepper Noise Environments  

Seong, Chi Hyuk (Kumoh National Institute of Technology, Department of IT Convergence Engineering)
Shin, Soo Young (Kumoh National Institute of Technology, Department of IT Convergence Engineering)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.54, no.6, 2017 , pp. 65-71 More about this Journal
Abstract
Digital images and videos are subject to various types of noise during storage and transmission. Among these noises, Salt & Pepper noise degrades the compression efficiency of the original data and causing deterioration of performance in edge detection or segmentation used in an image processing method. In order to mitigate this noise, there are many filters such as Median Filter, Weighted Median Filter, Center Weighted Median Filter, Switching Weighted Median Filter and Adaptive Median Filter. However these methods are inferior in performance at high noise density. In this paper we propose a new type of filter for noise mitigation in wireless communication environment where Salt & Pepper noise occurs. The proposed filter detects the location of the damaged pixel by Salt & Pepper noise detection and mitigates the noise by using adjacent pixel values which are not damaged in a certain area. Among the proposed filters, the performance of the filter using the $3{\times}3$ error mask is compared with that of the conventional methods and it is confirmed that when density of noise in the image is 95%, their performances are improved as 13.24 dB compared to MF and 13.09 dB compared to AMF.
Keywords
Salt & Pepper Noise; Noise Mitigation; Adjacent Pixels; Median Filter; Image Processing;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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