Texture transfer has been extensively studied in literature recently. Most of the techniques are either structural or statistical, with an emphasis on utilizing texture synthesis algorithms. In this paper we address texture transfer in an alternative way, that is, to extract texture information in frequency domain, and then apply it to the target image. This algorithm is based on our intuitive discovery that texture transfer consists of color transfer and spatial-variation transfer. This algorithm possesses astonishing performance because of various FFT (fast Fourier transform) algorithms existing in literature for transforming images to frequency domain. The method can utilize any of the texture synthesis algorithms to generate an texture of the proper size, and then transfer this texture to the target image. We also propose a set of tools and parameters to control the process of this method.