Spatial filtering techniques on reducing speckle noise in medical images

Filtering is one of the main pre-processing techniques in digital image processing techniques characterized by the fact that both its input and output are images. One of the most commercially successful applications of spatial filtering is ultrasound medical images. The main purpose of spatial filtering is blurring and noise removal in the original images. Many challenges have been made to remove the speckle noise from the ultrasound medical images. Thereby some common spatial filtering enhancement techniques are used for it; hence some more techniques have been introduced for it. But generally each spatial filtering technique has its own aspects, assumptions, draw backs and benefits. This paper compares various spatial filtering techniques based on the statistical method for the speckle noise removal in ultrasound medical images. The enhanced ultrasound medical image quality is measured by the statistical quantity parameters: Like Peak signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE) with standard variance (σ =0.03) ultrasound medical images.