De-noising of ultrasound image using discrete wavelet transform by symlet wavelet and filters

Noise is a major factor in degrading the image quality of various medical images (MRI, CT scan, Ultrasound etc.). Speckle noise is a most common noise presents in all medical images including ultrasound images. For diagnosis purpose it is essential to extract useful data in the original form so transformations are required for this. DWT (Discrete wavelet transform) is the latest and best technique for image denoising. In this work various techniques for removal of speckle noise from medical images based on Wavelet Multiresolution analysis and filtering techniques has been proposed. A comparative analysis of different methods: DWT with different wavelet families (Haar and Symlet) with wiener and median filtering has been presented. Results are compared in terms of PSNR, Mean squared Error (MSE) and processing time.