Morphological Signal Adaptive Median Filter
نویسندگان
چکیده
A novel extension of the classical signal -adaptive median lter (SAM) is proposed in this paper. It is the so-called morphological signal -adaptive median lter (MSAM). Two mod-iications are introduced in the SAM lter aiming at: (1) enhancing SAM impulse detection mechanism so that it detects not only impulses of a constant amplitude but randomly-valued impulses as well, (2) employing an anisotropic window adaptation based on binary morphological erosions/dilations with predeened structur-ing sets. Performance results are reported by evaluating both objective criteria (e.g. SNR, MAE) and subjective criteria (e.g. the perceived quality of the ltered images). The proposed MSAM lter outperforms the classical SAM lter in all cases.
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