一种基于小波变换的FBM图象生成方法

A Method Based On Wavelet For FBM Image Synthesis

提出了一种基于小波变换的ＦＢＭ图象生成方法，实验证明这种基于小波变换的生成方法比传统的ＲＭ－ＤＡ方法和Ｆｏｕｒｉｅｒ方法能更精确地生成二维ＦＢＭ图象。

In this paper , a new algorithms based on wavelet for FBM image synthesis is given. FBM is a zeromean nonstationary Gaussian random process.The synthesis of such images is important in fields such as the simulation of astronomical images and fratacl image analysis. Since FBM exhibits a selfsimilarity with respect to scale ,we show that FBM can be synthesized by using wavelets. Mallats filterbased wavelet representation can be used to synthesize a good approximation to FBM.