A new technique of the fusion of a high spatial resolution image and a low-resolution, multisprectral image is developed based on wavelet transform. This method merges the lower frequency components of a multispectral image and its high spatial resolution image by means of local deviation rules with weighting average. And then the merged image is reconstructed by an inverse wavelet transform using the fused approximation and details from the high spatial resolution image. Compared with WT method, the new method presented is clearly better in preserving spectral and improving spatial presentation.