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Proceedings Paper

Fractional Lévy stable motion for modeling speckle image
Author(s): Xutao Li; Lianwen Jin; Fuyuan Peng; Aiping Zhu
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Paper 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.

Paper Details

Date Published: 28 November 2007
PDF: 10 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68331G (28 November 2007); doi: 10.1117/12.756687
Show Author Affiliations
Xutao Li, South China Univ. of Technology (China)
Lianwen Jin, South China Univ. of Technology (China)
Fuyuan Peng, Huazhong Univ. of Science and Technology (China)
Aiping Zhu, Guangdong Univ. of Technology (China)


Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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