Detail-preserving median based filters in image processing
Pattern Recognition Letters
A Two-Stage Switching-Based Median Filter
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
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We know one characteristic of image is that each pixelis very close to surrounding neighbors. If the impulsivenoise appears in the local area, it will be very abruptly. Inthe proposed scheme, we pick up several neighboringpixels around the center pixel in the scanning window asthe statistic factors. The mean value and mean of absoluteneighboring difference (MAND) are utilized from those.Further, we use them to acquire a critical value. The valueis a representative characteristic of those pixels in the localarea and it will be used to identify whether if a pixel iscorrupted.