To　make　the　generalized　interger　transform　used　for　lossless　information　hiding　more　generalized　and　improve　the　data　embedded　capacity,　a　new　lossless　information　hiding　method　based　on　expanded　generalized　integer　transform　is　proposed　for　image.　By　introducing　the　variable　parameter　m　and　expanding　the　generalized　integer　transform,　m(n-1)　bit　data　can　be　embedded　into　one　image　block　with　n　pixels,　improving　the　embedded　capacity　when　m　＞　1.　Besides,　5　the　method　uses　a　new　data　embedding　strategy　to　improve　the　quality　of　the　hidded　image.　Compared　with　current　integer　transform　algorithms,　there　is　a　certain　improvement　in　the　embedded　capacity　and　the　quality　of　hidded　image　with　the　proposed　algorithm.　The　proposed　method　can　be　used　to　some　important　and　sensitive　areas,　i.e.　military　comunication,　healthcare,　and　law-enforcement,　after　extracted　the　embedded　secret　data,　the　cover　image　can　be　recovered　losslessly.　©　2015,　Science　Press.　All　right　reserved.