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http://dx.doi.org/10.6109/jkiice.2015.19.1.237

A Study on Modified Spatial Weighted Filter in Mixed Noise Environments  

Kwon, Se-Ik (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.19, no.1, 2015 , pp. 237-243 More about this Journal
Abstract
In recent image processing, active researches have been made along with rapid development in digital times. However, it is know that the image degradation occurs due to various external factors in the processes of image data processing, transmission and storage, and the main reason of image degradation is due to the noise. Typical methods to remove the noise are CWMF(center weighted median filter), A-TMF(alpha-trimmed mean filter) and AWMF(adaptive weighted median filter) and these methods have a little bit lacking noise reduction characteristics in mixed noise environments. Therefore, in order to remove the mixed noise, image restoration filter processing algorithm was suggested in this paper which processes by applying the median value of the mask and space weighted value after noise judgment. And for the objective judgment, it was compared with existing methods and PSNR(peak signal to noise ratio) was used as a judgment standard.
Keywords
Mixed Noise; Spatial Weighted; Noise Judgement; PSNR;
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Times Cited By KSCI : 2  (Citation Analysis)
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