International Journal of Engineering and Technology

This paper presents a review of wavelet thresholding techniques for despeckling of medical ultrasound images. An ultrasound image is first transformed into wavelet domain and then the wavelet coefficients are processed by different wavelet thresholding techniques. The denoised image is obtained by taking the inverse wavelet transform of the modified wavelet coefficients. The performance of the techniques reviewed in this paper is evaluated using the image quality assessment parameters such as Peak Signal to Noise Ratio (PSNR), Edge Preservation Index (EPI) and Correlation Coefficient (CoC).The practical implementation of this work is to determine the effective wavelet thresholding technique that compromises between edge preservation and noise suppression.