An Efficient Speckle Noise Reduction Filter in Ultrasound images using Discrete Wavelet Transform based on Adaptive Threshold

Abstract

Noise is the major problem in the field of image processing. In Medical image such as Ultrasound image are contaminated by different types of noise. The usefulness of US imaging is degraded by the presence of signal dependence noise known as speckle noise. In the presence of such noise it is difficult to diagnosis. To acquire a better performance we state another method that works efficiently to reduce noise an image without blurring the frontiers between different regions. This paper demonstrates wavelet based thresholding technique for de-noising and improving visual image quality in ultrasound images. This proposed method is compared to other existing approach and give superior result that satisfy the human visual quality and also these resulting images are evaluated by the performance parameter Signal to Noise Ratio, The Peak Signal to Noise Ratio and also other image quality measurement criteria. This method gives the better result with comparison to existing the Adaptive filter and Anisotropic Diffusion filter.