Ultrasound Image Despeckling Based on Statistical Similarity
نویسندگان
چکیده
منابع مشابه
LLRMA and KDE based Ultrasound Image Despeckling
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 successf...
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This letter presents a method of synthetic aperture radar (SAR) image despeckling aimed to preserve the detail information while suppressing speckle noise. This method combines the nonlocal self-similarity partition and a proposed modified sparse decomposition. The nonlocal partition method groups a series of structure-similarity data sets. Each data set has a good sparsity for learning an over...
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A low complexity method for suppressing speckle in synthetic aperture radar (SAR) images is proposed. This method doesn’t require the logarithmic transform and is an extension of the linear minimum mean square error (LMMSE) filter to the image wavelet representation. A spatially adaptive shrinkage function is obtained and each modified coefficient is decided separately. Simulation results for t...
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ژورنال
عنوان ژورنال: Ultrasound in Medicine & Biology
سال: 2017
ISSN: 0301-5629
DOI: 10.1016/j.ultrasmedbio.2017.05.006