A novel architecture for a super-resolution PIV algorithm developed for the improvement of the resolution of large velocity gradient measurements |
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Authors: | A Susset J M Most D Honoré |
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Institution: | 1. LCD – UPR, 9028 CNRS ENSMA, 86960, Futuroscope, France 2. R&D Vision, 14 rue Soleillet, 75020, Paris, France 3. CORIA–UMR 6614 CNRS, Université et INSA de Rouen, Technop?le du Madrillet, 76801, Saint Etienne du Rouvray, France
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Abstract: | Three different particle image processing algorithms have been developed for the improvement of PIV velocity measurements
characterized by large velocity gradients. The objectives of this study are to point out the limitations of the standard processing
methods and to propose a complete algorithm to enhance the measurement accuracy. The heart of the PIV image processing is
a direct cross-correlation calculation in order to obtain complete flexibility in the choice of the size and the shape of
the interrogation window (IW). An iterative procedure is then applied for the reduction of the size of IW at each measurement
location. This procedure allows taking into account the local particle concentration in the image. The results of this first
iterative processing, applied to synthetic images, show both a significant improvement of measurement accuracy and an increase
of the spatial resolution. Finally, a super-resolution algorithm is developed to further increase the spatial resolution of
the measurement by determining the displacement of each particle. The computer time for a complete image processing is optimized
by the introduction of original data storage in Binary Space Partitions trees. It is shown that measurement errors for large
velocity gradient flows are similar to those obtained in simpler cases with uniform translation displacements. This last result
validates the ability of the developed super-resolution algorithm for the aerodynamic characterization of large velocity gradient
flows. |
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Keywords: | Laser diagnostic Velocity PIV Super-resolution Synthetic image Binary space partition |
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