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WAVELETS TO RECONSTRUCT TURBULENCE MULTIFRACTALS FROM EXPERIMENTAL IMAGE SEQUENCES

Pierre Derian


Patrick Heas


Etienne Memin
Fluminance research group INRIA 35042 Rennes, France

Аннотация

In the context of turbulent fluid motion measurement from image sequences, we propose in this paper to reverse the traditional point of view of wavelets perceived as an analyzing tool: wavelets and their properties are now considered as prior regularization models for the motion estimation problem, in order to exhibit some well-known turbulence regularities and multifractal behaviors on the reconstructed motion field.