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Speckle noise is undesired result which appear during the image formation process in that is most typically known to occur in the coherent imaging systems for example ultrasound imaging, sonar, lasers, synthetic aperture radar and many more. So the presence of speckle in ultrasound imaging system results in decrease in quality of image and it become quite difficult for human to diagnose and interpret the change with naked eyes. Thus in case of analysis of ultrasound images speckle reduction is done to reduce unwanted noise in image. Till now numerous methods are proposed for speckle reduction or speckle suppression. So our approach is to brief the speckle noise reduction model by using various speckle reduction filters. Different filters have different behavior as some keep the content in the image while others provide the smoothening process. Similarly some are better for edge detection and can be applied for tumor segmentation etc. In the end, we have provided some commonly used filter assessment techniques.