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28 November 2007 Fractional Levy stable motion for modeling speckle image
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Abstract
Recently, stable processes have turned out to be good models for many impulsive signals and noises. The speckle noise in underwater, SAR and the cosmic background images has been proved to have heavy tails distributions and Long Rang Dependent (LRD) structures. In this paper, the Fractional Levy Stable Motion (FLSM) is introduced to model such speckle phenomenon. The synthesis approaches employing Random Midpoint Displacement (RMD) and FFT technology are presented to generate such speckle image respectively. Then, we introduce Wavelet Analysis (WA) method to estimate the LRD exponent H and propose two new technologies in estimation H parameter by Fractional Low Order Moment (FLOM) and Fractional Spectrum (FS) respectively.
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Xutao Li, Lianwen Jin, Fuyuan Peng, and Aiping Zhu "Fractional Levy stable motion for modeling speckle image", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68331G (28 November 2007); https://doi.org/10.1117/12.756687
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