Multi-wavelet, extended from single wavelet theory, is able to provide a more accurate image processing analysis method than wavelet. After studying the features of multi-wavelet transform, we realize the core algorithms of an image processing system with GHM multi-wavelet system, by which we can fuse two multi-spectra images by the matching degree-based fusion method. In the phase of image de-noising, we get rid of the noise in the fused image based on the integrated threshold de-noising method. In the stage of image compression, the de-noised image will be compressed and decompressed in adopting the method of Shannon, Fano, Huff-man, and SPIHT (Set Partitioning In Hierarchical Tree) respectively in three different proportional. At last, the results of various stages will be shown in the integrated processing system. This paper uses the MFC mode of VC+ + 6.0 to build a visualization interface (UI) model, to make the interface of our multi-wavelet image processing system concise which occupies less resource and easy to operate. That is, the system consists of three sub-systems, namely: image fusion, image de-noising and image compression. The realization of the sub-system’s functions is independent of each other which enhance portability and stability of the whole system.