Topic
K-distribution
About: K-distribution is a research topic. Over the lifetime, 1281 publications have been published within this topic receiving 51774 citations.
Papers published on a yearly basis
Papers
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TL;DR: Estimators based on low and fractional moments appear to be more robust than superior moment-based estimator and an improvement of the spatial resolution of the estimate can be obtained.
31 citations
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01 Jan 198731 citations
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04 Jul 2001TL;DR: The statistics of log-compressed echo images is derived for a Nakagami distribution, more general than Rayleigh and with lower computational cost than K distribution, and used the extracted result for designing an unsharp masking filter to reduce speckle.
Abstract: Using a good statistical model of speckle formation is important in designing an adaptive filter for speckle reduction in ultrasound B-scan images. Most clinical ultrasound imaging systems use a nonlinear logarithmic function to reduce the dynamic range of the the input echo signal and emphasize objects with weak backscatter. Previously, the statistic of log-compressed images had been derived for Rayleigh and K distributions. In this paper, the statistics of log-compressed echo images is derived for a Nakagami distribution, more general than Rayleigh and with lower computational cost than K distribution, and used the extracted result for designing an unsharp masking filter to reduce speckle. To demonstrate the efficiency of the designed adaptive filter for removing speckle, we processed two original ultrasound images of kidney and liver.
31 citations
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30 citations
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TL;DR: For basic discrete probability distributions, − Bernoulli, Pascal, Poisson, hypergeometric, contagious, and uniform, − q-analogs are proposed as discussed by the authors.
Abstract: For basic discrete probability distributions, − Bernoulli, Pascal, Poisson, hypergeometric, contagious, and uniform, − q-analogs are proposed.
30 citations