Abstract: To address the problem of low contrast and inconspicuous salient objects in multi-band image fusion, this paper presents a saliency-based multiband image synchronous fusion method. First, a near-infrared image was used as a data fidelity item, and infrared and visible light images provided salient and detailed information on the results of fusion, respectively. Second, a visual saliency-based infrared salient region extraction method was used to construct a weight map to overcome unsalient regions and blurred edges in the results of fusion. Finally, the alternating direction method of multipliers (ADMM) was used to solve the model and obtain the results of fusion. The research results showed that, compared with a representative image fusion algorithm, the proposed algorithm retained the thermal radiation information of the infrared image while retaining clearer details, and was better in many objective evaluation indicators.