In　this　paper,　a　new　method　for　generating　different　texture　images　is　presented.　This　method　involves　a　simple　transform　from　a　certain　one-dimensional　(1-D)　signal　to　an　expected　two-dimensional　(2-D)　image.　Unlike　traditional　methods,　the　input　signal　is　generated　by　a　simple　1-D　function　in　our　work　instead　of　a　sample　texture.　We　first　transform　the　1-D　input　signal　into　frequency　domain　using　fast　Fourier　transform.　Based　on　the　sufficient　analysis　in　2-D　discrete　cosine　transform　(DCT)　domain,　where　each　of　the　coefficients　expresses　a　texture　feature　in　a　certain　direction,　the　2-D　pseudo-DCT　coefficients　are　then　constructed　by　appropriately　rearranging　the　Fourier　coefficients　in　terms　of　their　frequency　components.　Finally,　the　corresponding　texture　image　can　be　produced　by　2-D　inverse　DCT　algorithm.　We　applied　the　proposed　method　to　generate　several　stochastic　textures　(i.e.,　cloud,　illumination,　and　sand),　and　several　structural　texture　images.　Experimental　results　indicate　the　good　performance　of　the　proposed　method.