On the robustified median filter for the reduction of impulsive noise in digital images
Bogdan Smołka · AIP conference proceedings · 2014
In this work an effective approach to the problem of impulsive noise removal in digital images is proposed. The novel filtering design is utilizing the elements of robust statistics and can be treated as a generalization of the standard median denoising algorithm. The output of the filter, operating in the local window, is defined as the pixel which minimizes the cumulated sum of trimmed absolute intensity differences between the pixels. Extensive experiments have revealed that the new technique yields much better performance when compared with the median filter. The beneficial feature of the new denoising framework is its ability to sharpen edges, while preserving image details. The simplicity of the proposed median extension enables its application in real time image enhancement.