Researchers are exploring various methods for fusing infrared and visible images, with some approaches focusing on saliency detection and others utilizing techniques such as neural networks or multi-stage processing. Different algorithms and models, including NSCT and improved FT, are being developed and tested for image fusion. The specific applications and outcomes of these methods are not clearly defined, but they appear to be aimed at improving image quality in various fields, including medical imaging.