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http://dx.doi.org/10.6109/jkiice.2019.23.4.394

Image Restoration Filter for Preserving High Frequency Components in Impulse Noise Environments  

Cheon, Bong-Won (Dept. of Control and Instrumentation Eng., Pukyong National University)
Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.4, 2019 , pp. 394-400 More about this Journal
Abstract
Noise removal is one of the required step in processing digital video and there are many researches to develop algorithm that fits with its purpose and environment. However, present impulse noise removal methods are lacking in its function in terms of removing noise in edge and high frequency factors. Therefore, this research has Extended range of masks depending on density to determine noise so that high frequency factors can be preserved. The range of resolution is set based on median and standard deviation of inside resolution after removing impulse noise. afterwards, those resolution within the range are calculated by adding weight to have the final output value. The suggested algorithm has an enhanced function in removing noise in various areas with many edge and high frequency factors than present methods and their functions are compared through simulation.
Keywords
Noise removal; High frequency components; Impulse noise; Extended mask;
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Times Cited By KSCI : 3  (Citation Analysis)
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