基于显著性的多波段图像同步融合方法

针对多波段融合图像存在对比度低、显著目标不突出的问题，本文提出了一种基于显著性的多波段图像同步融合方法。首先，近红外图像被用来作为数据保真项，红外图像和可见光图像分别为融合结果提供红外显著信息和细节信息；其次，基于视觉显著的红外显著区域提取方法被用来构造权重图，以克服融合结果显著区域不突出和边缘模糊问题；最后，采用交替方向乘子法（alternating direction method of multipliers, ADMM）来求解模型，得到融合结果。研究结果表明，较于代表性图像融合算法，所提算法能在保留红外图像热辐射信息的同时，保有较好的清晰细节，并在多项客观评价指标上优于代表性算法。

Saliency-based Multiband Image Synchronization Fusion Method

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.