8 July 2016 Entropy-guided switching trimmed mean deviation-boosted anisotropic diffusion filter
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Abstract
An effective anisotropic diffusion (AD) mean filter variant is proposed for filtering of salt-and-pepper impulse noise. The implemented filter is robust to impulse noise ranging from low to high density levels. The algorithm involves a switching scheme in addition to utilizing the unsymmetric trimmed mean/median deviation to filter image noise while greatly preserving image edges, regardless of impulse noise density (ND). It operates with threshold parameters selected manually or adaptively estimated from the image statistics. It is further combined with the partial differential equations (PDE)-based AD for edge preservation at high NDs to enhance the properties of the trimmed mean filter. Based on experimental results, the proposed filter easily and consistently outperforms the median filter and its other variants ranging from simple to complex filter structures, especially the known PDE-based variants. In addition, the switching scheme and threshold calculation enables the filter to avoid smoothing an uncorrupted image, and filtering is activated only when impulse noise is present. Ultimately, the particular properties of the filter make its combination with the AD algorithm a unique and powerful edge-preservation smoothing filter at high-impulse NDs.
© 2016 SPIE and IS&T
Uche A. Nnolim, "Entropy-guided switching trimmed mean deviation-boosted anisotropic diffusion filter," Journal of Electronic Imaging 25(4), 043001 (8 July 2016). https://doi.org/10.1117/1.JEI.25.4.043001 . Submission:
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