Many methods have been developed to remove image noises with wavelet. Here, the combination of those methods is considered to construct a new method that covers more aspects of the problem. Data fusion is chosen for such combination. With two classic existent methods as an example, a data-fusion based wavelet image denoising method is proposed. Experiment results show that the new method can provide better denoising performance thus suggests the potential of such a strategy.