Infrared　and　visible　light　fusion　is　a　pivotal　technique　for　image　enhancement.　Current　methodologies,　however,　often　overlook　exposure　errors　during　the　fusion　process,　potentially　compromising　the　quality　of　the　outcomes.　To　tackle　this　challenge,　we　introduce　a　novel　method　titled　“An　Infrared　and　Visible　Light　Fusion　Method　for　Enhanced　Representation　of　Prominent　Targets　and　Exposure　Errors”　(PEFusion).　This　approach　incorporates　a　multi-scale　exposure　correction　module　to　refine　image　quality　in　the　presence　of　exposure　discrepancies.　Furthermore,　we　implement　targeted　enhancements　during　the　fusion　process.　This　method　facilitates　the　creation　of　fused　images　that　not　only　highlight　prominent　targets　but　also　maintain　high　overall　quality.　Experimental　results　validate　that　PEFusion　surpasses　contemporary　state-of-the-art　methods　in　both　quantitative　and　qualitative　evaluations.　The　integration　of　exposure　correction　and　target　enhancement　substantially　enriches　the　texture　and　visual　details　of　the　merged　images,　rendering　it　exceptionally　effective　for　sophisticated　visual　tasks.　©　2024