One important application of wavelet transforms is for noise removal or denoising. The effectiveness of this technique is influenced by the choice of wavelet used, the decomposition level, and the threshold (both amplitude and type). Thirty different wavelets, several allowable decomposition levels, and a range of appropriate thresholds are tested. Preliminary results will be presented of wavelet denoising applied to 2-D acoustic backscatter imagery from a sidescan sonar in an attempt to improve the detection of bottom features. Comparisons with Fourier based filtering are also discussed. [Research supported in part by an NRL/ASEE Summer Faculty Fellowship and ONR.]