Removal of High Density Impulse Noise Using Boundary Discriminative Noise Detection Algorithm
نویسنده
چکیده
Switching median filters are used as standard median filters for the removal of impulse noise which can do the filtering of candidate noisy pixels and leaving uncorrupted pixels. The boundary discriminative noise detection (BDND) is one powerful example in this class of filters. There are some issues related to the filtering step in the BDND algorithm that may degrade its performance. The proposed system consists of two modifications to the filtering step of the BDND algorithm to address these issues. Experimental evaluation shows the effectiveness of the proposed modifications in producing sharper images than the BDND algorithm. The standard median filter, which is a nonlinear order-statistic filter, is one of the most popular filters that is used in the removal of impulse. The development of several algorithms that build on the standard median filter to improve its performance.
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