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http://dx.doi.org/10.6109/jkiice.2007.11.7.1373

A Modified Adaptive Switching Median Filter for Image Restoration  

Jin, Bo (부경대학교 전기제어공학부)
Kim, Nam-Ho (부경대학교 전기제어공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.7, 2007 , pp. 1373-1379 More about this Journal
Abstract
A modified adaptive switching median filter for impulse noise removal, which has the noise detection step and the noise filtering step, is proposed in this paper. In the noise detection step, we use the detection threshold which is earned by calculating the intensity differences between pixels nearby with each other in localized window, to determine whether the pixels in the image are noise or not. Then in the noise filtering step, we will only remove the corrupted pixels and remain the good pixels. By the noise detection result, we can easily get the local noise density of the image, and use it to consider the filtering mask size and the times of filtering iteration according to different localized noise corruptions. For Setting the simulation result, we compared the proposed method to conventional median filters with several test images corrupted by various impulse noise densities. We also use the peak signal-to-noise ratio (PSNR) to evaluate restoration performance, the simulation results demonstrate that the proposed method shows better results than other median-based type filters.
Keywords
impulse noise; median filter; noise detector; image restoration;
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