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Erschienen in:
2013 | OriginalPaper | Buchkapitel
41. A Novel Decision-Based Algorithm for Removal of Highly Corrupted Images
verfasst von : Yiyan Wang, Zhuoer Wang, Di Zhou
Erschienen in: Proceedings of 2013 Chinese Intelligent Automation Conference
Verlag: Springer Berlin Heidelberg
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Abstract
The major drawback of recent image filtering algorithms is lack of the ability of removing high density salt-and-pepper noise. To alleviate this limitation, an improved decision-based algorithm is proposed. Firstly, according to the characteristics of salt-and-pepper noise and local gray-scale feature of pixels, this algorithm separates noise pixels and signal pixels. Then the noise pixels are recovered by the median value of the neighboring noise-free pixel values, while the signal pixels hold their gray values without changing. Different gray-scale and color images have been tested by using the proposed algorithm (PA), simulation results show that this method has the better ability of removing noises and preserving the partial details of images in comparison with some recent methods especially when the noise density is very high.