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Speckle noise is an inherent nature of ultrasound images, which have negative effect on image interpretation and diagnostic tasks. In this paper, a nonlocal means method using weight refining for ultrasonic speckle reduction is proposed. Based on a signal-dependent speckle model, a novel similarity weight is derived by Bayesian framework. The weight is iteratively refined in a lower dimensional subspace...
The decision-based non-local means filter is proposed to remove fixed-value impulse noise from the corrupted digital images. The proposed filter first identifies the corrupted pixels using the local statistics based noise detector and then removes the detected impulses using the reference image-based non-local means filter while keeping the uncorrupted pixels unaltered. Extensive simulations demonstrate...
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