Infrared and Visible Image Fusion:Statistical Analysis,Deep Learning Approaches and Future Prospects
Image fusion aims to integrate complementary information from diverse source images,generating a composite image with higher quality,increased information content,and enhanced clarity.Infrared and visible light image fusion(IVIF)stands out as a focal point in the field of image fusion.This paper employs the Systematic Review method to conduct a comprehensive analysis and review of the publication trends in the last two decades within three major engineering online literature databases related to IVIF.The focus is on an in-depth examination and presentation of IVIF algorithms based on deep learning till August 2023.Additionally,a systematic analysis of performance evaluation methods in the IVIF domain is provided,including a categorized comparison of various evaluation method formulas and their specific components.Finally,the paper concludes with a summary and outlook on the future technological trends in IVIF,offering valuable insights for prospective research in this field.
NETL
NSTL
万方数据
