LLRMA and KDE based Ultrasound Image Despeckling
نویسنده
چکیده
The major issue associated with ultrasound imaging is that it may be corrupted by speckle noise during image acquicition. Speckle pattern is a form of multiplicative noise which blurs the ultrasound images. It reduces the contrast and resolution of ultrasound images which results in poor interpretation of image features. Hence speckle reduction is often used as a preprocessing step for successful use of classical image processing algorithms for image segmentation, classification and pattern recognition. In this work an Ultrasound image despeckling approach based on Local Low Rank Approximation, Kernel Density Estimation and local variance is proposed.
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