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In this paper, we propose a synthetic aperture radar (SAR) image despeckling method based on patch ordering and transform-domain filtering. Logarithmic transformation with bias correction is applied to the original SAR image to transform the multiplicative noise model into the additive model. Then, we adopt a two-stage filtering strategy. The first stage is coarse filtering which can suppress speckle...
Recently there has been a growing interest in the sparse representation of signals. Particularly, many new multi-scale transforms have been proposed in this direction. Instead of using fixed transforms such as wavelets, curvelets etc., an alternative way is to train a dictionary from the image itself. This paper presents a novel despeckling scheme for medical ultrasound images using such a sparse...
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