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Proceedings Paper

Underwater image modeling using multi-scale fractional lévy stable motion
Author(s): Xutao Li; Lianwen Jin; Fuyuan Peng; Kun Zhao
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Paper Abstract

Fractal-based analysis provides an excellent explanation of the ruggedness of natural surface. Fractal-based description of image texture has been used effectively in characterization of natural scene. However, a real surface is not always so perfect that keep invariable self-similarity in whole scale space and it seems to be multi-scale. The present work focused on the modeling of underwater image. We analyzed the increment distribution and the self-similarity of several typical objects, and the results show that the traditional FBM model is not suitable for modeling such objects. And then one kind of self-similar stable process, Fractional Lévy Stable Motion (FLSM) is discussed. Based on FLSM, we proposed a new model, Multi-scale Fractional Lévy Stable Motion (MFLSM) in which the self-similarity parameter H (Δs) is a variable with respect to measure scale s. Furthermore such 2-D model is applied to model the scattering image. The simulation result shows that MFLSM represents the multi-scale self-similarity and the speckle of underwater optical imaging.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860L (15 November 2007); doi: 10.1117/12.744542
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)
Kun Zhao, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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