The invention belongs to the field of image processing and computer vision. Provided is an infrared and visible light fusion method based on double-layer optimization. A pair of an infrared camera and a visible light camera is used to acquire images, an infrared and visible light image fusion algorithm for constructing a double-layer normal form is involved, and the algorithm is an infrared and visible light fusion algorithm using a mathematical modeling means. The method comprises: using a binocular camera and NVIDIA TX2 to construct a high-performance computing platform, and constructing a high-performance solving algorithm to obtain a high-quality infrared and visible light fused image. A system is easily constructed, and acquisition of input data can be completed by using a stereoscopic binocular infrared camera and a visible light camera respectively; a program is simple and is easily implemented; according to different imaging principles of infrared and visible light cameras, a fused image is divided into an image domain and a gradient for fusion by means of a mathematical modeling means, artifacts generated during fusion are effectively processed, and the fusion quality is improved; and finally real-time performance is achieved by means of GPU acceleration.
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