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Image registration is the process of overlaying images of the same scene taken at different times, from different viewpoints, and/or by different sensors. Intensity-based image registration is considered to be a process of optimizing registration parameters of the similarity measure while different optimization methods are used to improve this process.(More)
Ultrasound images show a granular pattern of noise known as speckle that diminishes their quality and results in difficulties in diagnosis. To preserve edges and features, this paper proposes a fractional differentiation-based image operator to reduce speckle in ultrasound. An image de-noising model based on fractional partial differential equations with(More)
Tissue structure including lesions in ultrasound images is important in clinical diagnosis. The way to suppress noise effectively and to preserve the structure is vital for diagnosis and also for image post-processing. In order to reduce speckle and improve the quality of ultrasound images, this paper presents a fast adaptive bilateral filter (FABF) based(More)
LS estimator is the classical diffusion tensor estimate method. It could get optimal result with highest estimate efficiency on the condition that the noise distribution is Gaussian strictly. But it is quite not robust, for even one outlier could make the error result. M estimator is more robust than LS estimator, but its breakdown point is very low, thus(More)
Elastography in medical ultrasound is an imaging technique that displays information about tissue stiffness. However, elastography suffers from artefact noise that may come from two dominant sources: decorrelation error and amplitude modulation error. In order to reduce artefact and improve the quality of ultrasonic elastography, a fast bilateral filter is(More)
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