Abstract
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.
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