Real Time Fusion Algorithm Of Infrared And Visible Images Based On CUDA Platform

Image fusion technology can fuse the images obtained by different sources,so that the fusion image can overcome the limitations of single source image,retain the respective imaging advantages,provide more useful information,so it has great application value.Infrared images and visible images due to differences in imaging mechanism,the image of different nature,the two integration is difficult,but the obvious advantages.Infrared and visible light image fusion has been in the military,security,exploration,monitoring and other fields have been applied,the study of this technology has also been more attention.However,infrared and visible image fusion technology in the theory and application is still facing urgent problems to be solved.Image fusion theory has made outstanding achievements so far,but for infrared and visible image fusion algorithm is very small.The application of infrared and visible image fusion technology is also limited by the lack of real-time processing capability.The computational complexity of the fusion algorithm is difficult to meet the requirements of real-time processing,so that many excellent fusion algorithms are not applied.CUDA makes the data parallel computing speed greatly improved,based on CUDA infrared and visible light image fusion can greatly enhance the real-time processing performance.In this paper,based on the analysis of existing fusion algorithms,the computational complexity of the composite fusion algorithm and the fusion effect of infrared and visible image fusion,we selected an ideal algorithm and proposed improvement method,while the design of a practical application of the integration process.The realization of fusion algorithm to GPU as the core computing,the use of CUDA computing platform for real-time integration.After studying the hardware architecture of the GPU and the CUDA programming model,the algorithm is carefully divided into the calculation task,and the CUDA is realized and optimized to accelerate and analyze the acceleration performance.Finally,in the actual scene test system performance,to achieve the effect of excellent infrared and visible image real-time fusion.