In　computer　vision,　the　reflections　impair　the　overall　perception　of　images　and　introduce　undesired　interference　to　high-level　image　understanding.　To　date,　reflection　removal　approaches　have　been　developed　with　advantage　of　visual　quality　enhancement.　However,　the　reflection　removal　for　single　image　is　still　a　challenging　task　with　its　performance　to　be　further　boosted.　During　this　process,　additional　visual　artifacts　such　as　blocking　may　also　be　introduced　that　degrades　subjective　quality　of　images.　In　this　paper,　we　make　the　first　attempt　to　eliminate　image　reflections　and　artifacts　simultaneously　within　a　unified　framework.　A　structure-texture　strategy　is　utilized　to　decompose　the　image　into　structure　and　texture　layers.　The　proposed　model　handles　reflection　removal　in　both　layers　and　further　suppress　blocking　artifacts　in　the　texture　layer.　Finally,　a　fusion　process　is　employed　to　obtain　the　result　image.　Experiments　with　objective　and　subjective　evaluations　validate　the　superiority　of　the　proposed　method,　which　outperforms　several　state-of-the-art　algorithms.