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http://dx.doi.org/10.6109/jkiice.2022.26.5.675

A Filter Algorithm based on Partial Mask and Lagrange Interpolation for Impulse Noise Removal  

Cheon, Bong-Won (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.5, 2022 , pp. 675-681 More about this Journal
Abstract
Recently, with the development of IoT technology and AI, unmanned and automated in various fields, interest in video processing, which is the basis for automation such as object recognition and object classification, is increasing. Various studies have been conducted on noise removal in the video processing process, which has a significant impact on image quality and system accuracy and reliability, but there is a problem that it is difficult to restore images for areas with high impulse noise density. In this paper proposes a filter algorithm based on partial mask and Lagrange interpolation to restore the damaged area of impulse noise in the image. In the proposed algorithm, the filtering process was switched by comparing the filtering mask with the noise estimate and the purge weight was calculated based on the low frequency component and the high frequency component of the image to restore the image.
Keywords
Impulse noise; Partial mask; Lagrange interpolation; PSNR;
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Times Cited By KSCI : 1  (Citation Analysis)
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