한국정보통신학회:학술대회논문집 (Proceedings of the Korean Institute of Information and Commucation Sciences Conference)
- 한국해양정보통신학회 2011년도 추계학술대회
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- Pages.379-381
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- 2011
Mixed Weighted Filter for Removing Gaussian and Impulse Noise
- Yinyu, Gao (Dept. of Control & Instrumentation Eng., Pukyong National Univ.) ;
- Kim, Nam-Ho (Dept. of Control & Instrumentation Eng., Pukyong National Univ.)
- 발행 : 2011.10.26
초록
The image signal is often affected by the existence of noise, noise can occur during image capture, transmission or processing phases. noises caused the degradation phenomenon and demage the original signal information. Many studies are being accomplished to restore those signals which corrupted by mixed noise. In this paper, we proposed mixed weighted filter for removing Gaussian and impulse noise. we first charge the noise type, then, Gaussian is removed by a weighted mean filter and impulse noise is removed by self-adaptive weighted median filter that can not only remove mixed noise but also preserve the details. And through the simulation, we compared with the conventional algorithms and indicated that proposed method significant improvement over many other existing algorithms and can preserve image details efficiently.