The　flare　stack　is　a　flare　gas　combustion　facility　used　to　ensure　the　safe　production　of　petrochemical　enterprises.　However,　in　petrochemical　enterprises,　cameras　are　far　away　from　the　flare　stacks,　which　causes　the　collected　flare　soot　pictures　to　be　too　blurry　to　be　analyzed　further.　To　that　end,　we　devise　an　Upsampling　Flare　Soot　Pictures　Director　(UFSPD)　based　on　the　global　perception　and　local　details.　First,　we　get　the　global　perception　map　and　the　local　details　map　of　a　low　resolution　flare　soot　picture　via　guided　filtering　and　edge　extraction,　respectively.　Then,　the　upsampling　method　is　used　to　upsample　the　above　two　maps　to　get　the　corresponding　high-resolution　picture.　Finally,　the　two　pictures　in　the　second　step　are　fused　at　the　pixel-level　to　get　a　satisfactory　flare　soot　picture.　Experiments　show　that　the　proposed　UFSPD　model　is　more　competitive　than　other　state-of-the-art　models　in　some　image　quality　evaluation　indexes,　and　it　also　helps　to　improve　the　detection　rate　of　flare　soot.