Against the complex architecture of weighted average multiresolution image fusion algorithm that based on the Piella framework, and fusion rules do not adequately take into account the human visual characteristics, an extended multiresolution image fusion model was presented to control the combination map only with the activity measure. On the basis of the extended model, a multiresolution image fusion method that combined fused image quality evaluation criteria and previous decomposition layer information was proposed. The method took into account the fact that fused image is more to the human eye as a sink, so the image quality evaluation criteria was introduced to the high-frequency sub-band fusion rules. On the other hand, taking into account the presence of multi-scale analysis, which made the current decomposition layer’s information holdings significantly less than the previous decomposition layer, the previous decomposition layer information was introduced to the low-frequency sub-band fusion rules. Experiments revealed that the new algorithm is effective and robust.
