Neuromorphic　vision　systems　have　been　proven　to　have　great　potential　in　simulating　the　fundamental　functions　of　the　human　visual　system　and　can　even　be　extended　to　the　infrared　(IR)　region,　which　is　invisible　to　the　human　eye.　Here,　an　IR　neuromorphic　light-emitting　memristor　(INLEM)　is　presented,　which　achieves　full-process　functionality　from　IR　image　sensing　and　information　processing　to　visible　light　output　within　an　all-in-one　structure.　The　INLEM　dynamically　adjusts　its　current　in　response　to　different　IR　stimuli,　successfully　simulating　the　transition　from　short-term　potentiation　(STP)　to　long-term　potentiation　(LTP)　in　biological　synapses.　More　importantly,　this　synaptic　behavior　is　visualized　in　real-time　through　visible　light　without　the　need　for　an　additional　display　module.　Leveraging　this　feature,　the　process　by　which　INLEM　enhances　the　contrast　of　target　information　by　suppressing　IR　noise　is　successfully　demonstrated.　Furthermore,　it　is　proved　that　the　intelligent　image　processing　based　on　INLEM　improves　the　efficiency　of　artificial　neural　networks　in　image　recognition　and　classification　tasks　(in　both　energy　and　speed).　Therefore,　this　intelligent　neuromorphic　light-emitting　hardware,　which　integrates　IR　sensing,　memory　processing,　and　display　functions,　contributes　to　the　development　of　integrated　optoelectronic　systems　and　Internet　of　Things　applications.