Hey,
You can refer to this question to know more about denoising using wavelet. You can also refer to Wavelet Toolbox and select from many thresholding strategies and explore denoising signals and images by using the Wavelet Signal Denoiser and the Wavelet Analyzer.
Wavelet denoising is known to produce artificial artifacts and perform poorly when applied on images with high Signal to Noise Ratio, so you might want to check the SNR for the input images to the wavelet filter.
You can also look at other approaches to denoise your image, for e.g. using neural networks, Weiner filter etc
