Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption

Infrared-visible image fusion (IVIF) is a fundamental and critical task in the field of computer vision. Its aim is to integrate the unique characteristics of both infrared and visible spectra into a holistic representation. Since 2018, growing amount and diversity IVIF approaches step into a deep-learning era, encompassing introduced a broad spectrum of networks or loss functions for improving visual enhancement. As research deepens and practical demands grow, several intricate issues like data compatibility, perception accuracy, and efficiency cannot be ignored. Regrettably, there is a lack of recent surveys that comprehensively introduce and organize this expanding domain of knowledge. Given the current…

• NN
  National Natural Science Foundation of China

  Awards: U22B2052, 62450072, 62027826, 62302078, 62372080, 12326605
• CP
  China Postdoctoral Science Foundation

  Award: 2023M730741
• FR
  Fundamental Research Funds for the Central Universities

  Awards: DUT24BS013, DUT24LAB125