SIMULATION OF IMAGE TIME SERIES FROM DYNAMICAL FRACTIONAL BROWNIAN FIELDS

被引：0

作者：

Atto, Abdourrahmane M. ^{[1
]}

Fillatre, Lionel ^{[2
]}

Antonini, Marc ^{[2
]}

Nikiforov, Igor ^{[3
]}

机构：

[1] Univ Savoy, Polytech Annecy Chambery, LISTIC, EA 3703, Savoy, France

[2] Univ Nice Sophia Antipolis, CNRS, UMR 7271, I3S, Nice, France

[3] Univ Technol Troyes, CNRS, UMR 6279, STMR,LM2S, Troyes, France

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2014年

关键词：

Image Time Series; Stochastic fields; Dynamic Fractional Brownian Field; Dynamic textures; Spatio-Temporal Field Simulation; SPECTRUM; TEXTURE;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The paper addresses random field time series analysis and simulation. The analysis constrains a spatial isotropic fractional Brownian field to a dynamic temporal behavior from separable time varying Hurst parameters. The constrained dynamic applies by embedding the wavelet packet spectrum of the input random field into different spectra associated with the same random family (exponential spectrum decay). The paper highlights the relevance of the approach for representing and simulating isotropic light source and cloud dynamics.

引用

页码：6086 / 6090

页数：5

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