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An extensive review on Despeckling of medical ultrasound images using various transformation techniques

机译:使用各种变换技术对医学超声图像去斑点化的广泛综述

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摘要

In recent years, the ultrasound imaging plays a major role in the medical field. It is the diagnostic imaging technique in which the diagnosis has become more complex due to the presence of speckle noise in the image. This speckle noise significantly reduces the image clarity through the diminution of details of the image like edge details, contrast reduction, and resolution problems. Several types of research have been investigated to reduce the speckle noise. This paper reviews the state-of-the-art of transformation techniques for reducing the speckle noise from medical ultrasound images by considering the challenges on compressing the medical imaging to deduce extraneous information using the non-subsampled contourlet transform.
机译:近年来,超声成像在医学领域起着重要作用。这是一种诊断成像技术,其中由于图像中出现斑点噪声,诊断变得更加复杂。通过减少图像细节(例如边缘细节,对比度降低和分辨率问题),斑点噪声会大大降低图像清晰度。为了减少斑点噪声,已经进行了几种类型的研究。本文考虑了使用非下采样轮廓波变换压缩医学图像以推断出无关信息的挑战,从而综述了用于减少医学超声图像斑点噪声的最新转换技术。

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