Nonlinear filtering with adaptation to local properties of the image

Mikhail A. Shcherbakov, Александр Николаевич Панов · Computer Optics · 2014

Different approaches to the construction of digital nonlinear filters that operate by use of local image properties are offered. Structures of nonlinear filters with variable nonlinear-component weight and parametric adaptation are considered. The effectiveness of the proposed methods of filtering is illustrated by the examples of the additive Gaussian and impulse noise suppression.

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