Direction-of-arrival　(DOA)　estimation　of　multiple　speech　sources　in　enclosed　environments　is　a　hot　topic　in　the　acoustic　field.　Reverberation　and　multi-source　overlapping　are　the　primary　challenges　in　multisource　localization.　These　disturbances　result　a　performance　degradation.　In　this　paper,　a　new　method　for　multi-source　DOA　estimation　in　reverberant　environments　is　presented　using　potential　single-source　points　enhancement.　First,　we　made　a　statistical　investigation　about　the　effect　of　reverberation　on　single-source　points　(SSPs)　whose　components　dominantly　derive　from　only　one　source.　From　the　experimental　results,　it　is　found　that　several　time-frequency　points　detected　as　SSPs　in　anechoic　environments　are　converted　into　non-SSPs　when　the　signals　are　recorded　in　reverberant　conditions.　These　points　are　defined　as　potential　SSPs　in　this　paper.　Then,　potential　SSPs　enhancement　algorithm　is　designed　to　suppress　the　effect　of　reverberation　for　SSPs　detection.　Finally,　DOA　estimation　is　accomplished　by　post-processing　the　histogram,　which　is　generated　by　the　DOA　estimates　calculated　at　the　detected　SSPs.　We　conducted　objective　evaluations　in　both　simulated　and　real　environments.　Experiment　results　indicate　that　the　localization　scheme　proposed　in　this　paper　is　more　efficient　with　some　state-of-the-art　localization　methods　in　terms　of　both　DOA　estimation　and　source　counting.　(C)　2020　Elsevier　Ltd.　All　rights　reserved.