Sonar　imaging　has　broad　and　critical　applications　in　marine　technologies　since　it　is　able　to　solve　the　problem　that　the　optical　system　cannot　operate　effectively　in　turbid　water.　During　the　process　of　underwater　acoustic　channel　transmission,　sonar　images　are　easy　to　degrade　and　thus　seriously　influence　the　resultant　feature　extraction　and　target　recognition.　To　that　end,　we　devise　a　new　SOnar　Image　Quality　Evaluation　(SOIQE)　method　in　this　paper　for　better　monitoring　and　guaranteeing　the　visual　quality　of　sonar　images.　Guided　by　highlighting　the　important　task　objects,　our　proposed　SOIQE　method　makes　a　pixel-wise　fusion　of　structures　extracted　at　multiple　scales.　Experimental　results　on　the　newly　established　sonar　image　quality　database　show　that　our　SOIQE　approach　is　superior　to　the　state-of-the-art　image　quality　models　in　terms　of　implement　efficiency　and　evaluation　performance.