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Speckle reduction based on Wiener filter in ultrasound images
In this manuscript, a technique for speckle noise reduction in ultrasound images is presented. The method exploits Wiener filter and is able to take into account spatial correlation among noise samples. With respect to classical Wiener filter approach developed in independence hypothesis, the methodology is able to sensibly improve filtering performances, at the cost of no computational time increase. Results on realistic simulated datasets are reported, showing the effectiveness of the approach.
Databases, Factual, Fourier Analysis, Phantoms, Imaging, Signal Processing, Computer-Assisted, Magnetic Resonance Imaging, High-Energy Shock Waves, Calibration, Image Processing, Computer-Assisted, Humans, 1707; Signal Processing; Biomedical Engineering; Health Informatics, Ultrasonics, Noise, Algorithms, Software, Probability, Ultrasonography
Databases, Factual, Fourier Analysis, Phantoms, Imaging, Signal Processing, Computer-Assisted, Magnetic Resonance Imaging, High-Energy Shock Waves, Calibration, Image Processing, Computer-Assisted, Humans, 1707; Signal Processing; Biomedical Engineering; Health Informatics, Ultrasonics, Noise, Algorithms, Software, Probability, Ultrasonography
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
