Quantum　image　processing　is　one　of　the　most　active　fields　in　quantum　computation　and　quantum　information　processing.　Some　concepts　of　quantum　images　and　transformations　have　emerged　in　recent　years.　This　paper　proposes　a　quantum　algorithm　to　scale　up　quantum　images　based　on　nearest-neighbor　interpolation　with　integer　scaling　ratio.　Firstly,　the　novel　enhanced　quantum　representation　is　improved　to　the　generalized　quantum　image　representation　to　represent　a　quantum　image　with　arbitrary　size　H　x　W.　Then,　nearest-neighbor　interpolation　is　used　to　create　new　pixels　in　the　enlarged　images.　Based　on　them,　quantum　image　scaling　up　algorithms　in　the　form　of　circuits　are　proposed.