The image feature fusion is a kind of data fusion that is based on spectral structure and texturefeature of the objects. This paper proposed feature fusion after enhancing image edge with wavelet’smulti-resolution analysis to largely improve image' s definition and resolving power. In the fusion process,instead of using the conventional HIS-Wavelet fusion, directly introduced RGB-Wavelet transformationwhich decomposed RGB bands of the multi-spectral image and high-resolution image by waveletseparately, then used low frequent parts of the R, G, B bands and high frequent parts of the high-resolution image to do the image fusion, finally had new R, G, B bands as the new fusion image. In theway, not only improved definition and resolution of the multi-spectral image, but also retained the colorfeature of multi-spectral image which was important for multi-spectral fusion. At last validated theconclusion with an experiment. This method was based on wavelet multi-resolution analysis and RGB colorspace, so it didn' t generate any compute error of color space transform. Compared the fusion results of RGB-wavelet and HIS-wavelet methods, it could find that not only precision of visual estimation but alsoguide lines of quantitative analysis such as definition, space resolution had greater improvement.