Although　image　scaling　algorithms　in　classical　image　processing　have　been　extensively　studied　and　widely　used　as　basic　image　transformation　methods,　the　quantum　versions　do　not　exist.　Therefore,　this　paper　proposes　quantum　algorithms　and　circuits　to　realize　the　quantum　image　scaling　based　on　the　improved　novel　enhanced　quantum　representation　(INEQR)　for　quantum　images.　It　is　necessary　to　use　interpolation　in　image　scaling　because　there　is　an　increase　or　a　decrease　in　the　number　of　pixels.　The　interpolation　method　used　in　this　paper　is　nearest　neighbor　which　is　simple　and　easy　to　realize.　First,　NEQR　is　improved　into　INEQR　to　represent　images　sized　2(n1)　x　2(n2).　Based　on　it,　quantum　circuits　for　image　scaling　using　nearest　neighbor　interpolation　from　2(n1)　x　2(n2)　to　2(m1)　x　2(m2)　proposed.　It　is　the　first　time　to　give　the　quantum　image　processing　method　that　changes　the　size　of　an　image.　The　quantum　strategies　developed　in　this　paper　initiate　the　research　about　quantum　image　scaling.