High Density Impulse Noise Removal Using Robust Estimation Based Filter

In this paper a novel method for removing fixed value impulse noise using robust estimation based filter is proposed. The function of the proposed filter is to detect the outlier pixels and restore the original value using robust estimation. Comparison shows the proposed filter effectively removes the impulse noise with significant image quality compared with the standard median filter, center weighted median filter, weighted median filter, progressive switching median filter, adaptive median filter and recently proposed methods. The visual and quantitative results show that the performance of the proposed filter in the preservation of edges and details is better even at noise level as high as 98%.

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