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This paper presents a new impulse noise detection and removal technique based on applying dynamic optimal partitioning (OP) to a set of neighborhoods of a pixel whose noise identity is in question. Using the nature of the impulse noise, and by gathering collaborating information from different directions around it, a pixel is deemed either noisy or normal. If the pixel is classified as noise, then...
A high performance detection (HPD) filter is proposed for impulse noise removal in images. In this approach, the noisy pixels are detected iteratively through several phases, based on a set of unique similarity criteria. Simulation results show that the HPD filter outperforms others at medium to high noise rates and suppresses impulse noise effectively while preserving image details, even thin lines.
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