Speckle noise reduction in 3D ultrasound images — A review

In image processing noise removal is the strenuous tasks. Noise removal forms one of the applications of segmentation. It is also the basic tool for the medical diagnosis. It helps the medical practitioner to extract the defected organ easily and give a proper diagnosis. The present scenario is to concentrate on extracting the desired tissue from the noisy image obtained through ultrasound scanning methods. Ultrasound images are the predominantly used scanning approaches because of their low-cost and non-invasive nature. Elimination of the speckle from ultrasound is the demanding aspect. This paper focuses on various researches on speckle removal in ultrasound images. Emphasis is made on which method best removes the speckle noise by measuring various parameters such as signal to noise ratio, efficiency, etc,. In this paper it is also proposed to use a well-defined and well framed approach to reduce speckle noise in ultrasound images and improve signal to noise ratio of the obtained image compared to existing methods.