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http://dx.doi.org/10.6109/jkiice.2022.26.7.989

Salt and Pepper Noise Removal using Effective Pixels and Linear Interpolation  

Lee, Hwa-Yeong (Dept. of Intelligent Robot Eng., Pukyong National University)
Kim, Nam-Ho (School of Electrical Eng., Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.7, 2022 , pp. 989-995 More about this Journal
Abstract
Currently, the demand for image processing is increasing due to the development of IT technology, and active research is being conducted. Since image data generates image noise due to various external causes, and thus degrades the performance of the image, noise removal is essential. Salt and Pepper noise is a representative image noise, and various studies are being conducted to remove it. Existing algorithms include A-TMF, AFMF, LIWF, but these have the disadvantage that their performance is somewhat insufficient. Therefore, in this paper, we propose an algorithm that performs filtering using linear interpolation with effective pixels existing around the central pixel only in case of noise after performing noise judgment in order to efficiently remove salt and pepper noise. In order to judge the performance of the proposed algorithm, it was compared using the processed image of the previously studied algorithm and PSNR.
Keywords
Salt and Pepper; Noise removal; Effective pixels; Linear interpolation; PSNR;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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