The invention belongs to the technical field of image processing, and discloses an image fusion processing method and system based on a fuzzy operator, and a computer program; two images that are fused according to needs, that is, source image 1 and source image 2, are pixelated by a Lukasiewicz implication operator Level learning and training, get the relation matrix R; take the source graph 1 as the input information, take R as the relation matrix, use the Lukasiewicz triangular modulus operator T Lu , to obtain the fused target image. Compared with the existing image fusion method, the present invention saves a lot of complex mathematical calculations and preliminary work, is simple, efficient and easy to implement, and can complement and fuse the image information to be fused well no matter it is brightness information or detail information. The final image has good visual effects, obvious details and clear targets. From the fusion images measured under the same operating environment of the same computer in the following examples, it can be clearly compared that the fusion method of the present invention is superior to the prior art.