Underwater　images　often　suffer　from　local　distortions　during　the　imaging　and　transmission　process,　which　can　negatively　impact　their　quality.　Fortunately,　it　is　possible　to　improve　image　quality　by　removing　local　distortion　without　making　any　hardware　or　software　adjustments　to　the　transmission　system.　However,　existing　algorithms　designed　for　global　distortions　are　not　suitable　for　addressing　local　distortions,　while　end　-to　-end　restoration　and　inpainting　algorithms　do　not　perform　satisfactorily　on　underwater　images.　To　address　this　issue,　this　paper　proposes　a　Joint　distortion　localization　and　restoration　model　based　on　Progressive　Guidance　(JPG)　specifically　tailored　for　underwater　imaging　and　transmission.　Our　strategy　employs　a　two　-stage　framework　where　the　first　stage　focuses　exclusively　on　accurately　localizing　distortions　to　obtain　precise　position.　Subsequently,　in　the　second　stage,　we　utilize　this　position　information　for　effective　distortion　restoration.　To　further　enhance　restoration　performance,　our　approach　progressively　guides　the　restoration　process　by　incorporating　global,　distortion　-free　as　well　as　distortion　-specific　information　into　different　components　of　the　second　-stage　network.　The　work　surpasses　current　state-of-the-art　methods　in　restoring　both　mixed　and　individual　distortions.