Journal of the Korean Institute of Telematics and Electronics (대한전자공학회논문지)
- Volume 25 Issue 3
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- Pages.322-326
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- 1988
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- 1016-135X(pISSN)
Adaptive Image restoration of Sigma Filter Using Local Statistics
국부통계를 이용한 시그마 필터의 적응 영상복원
Abstract
The sigma filter is a nonlinear filter of modifying average filter to develop edge-preserving characteristics. However, this filter is yet weak to the impulsive noise such as BSC noise. Therefore it has not been used so highly in the image restoration area. In this paper, We propose an adaptive image restoration algorithm using the local statistic and the characteristic of human eyes in order to compensate its drawback and to improve its performance. The performance of the proposed algorithm and the vonventional ones are compared for images degraded by BSC noise. The proposed algorithm shows better performance than the median filter and yields 5 dB performance improvement over the convertional K-sigma filter on SNR gain.
Keywords