JELE_V3_N4_RP3 P. Nirmaladevi R. Asokan S. Govindaraj S. Usha Journal on Electronics Engineering 2249 – 0760 3 4 19 24 Wavelet Transform, Wavelet Denoising, Adaptive Wavelet Thresholding, Shrinkage Methods In this paper, we propose a wavelet denoising algorithm based on adaptive wavelet thresholding technique for ultrasound images. The adaptive wavelet thresholding is a Bayesian frame work and wavelet coefficients are assumed to be General Gaussian Distribution function (GGD). The proposed algorithm performs better when compared with other shrinking technique like Visu shrink, Level shrink, and Sure shrink. This approach preserves edges and also the computational complexity is less. The image quality is measured using Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Universal Quality Index (UQI). June – August 2013 Copyright © 2013 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2394