Design and Implementation of Dual-Software Dual-Light Imaging System and Fusion Algorithm

In recent years, with the increasing demand for multi-source information fusion technology, infrared and visible image fusion technology has been developed rapidly and become an important research direction in the optical information processing field. Combing the advantage of LabVIEW and MATLAB, we proposed a new infrared and visible image fusion system in this paper. An infrared and visible light video image fusion system based on LabVIEW and MATLAB is built. To solve the problem of low infrared image resolution and poor image quality, we proposed an infrared image enhancement algorithm. Experiments result show that the algorithm can enhance the edge features of the infrared image while retaining the internal details of the image. A filtering layered fusion algorithm based on wavelet transform and weighting method is proposed. The algorithm uses anisotropic filtering to decompose the image, calculate each layer's fusion weight, and use the wavelet transform and weighting fusion method to obtain the fused image. Both simulation and actual system experiments prove the effectiveness of the system design and the algorithm.