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Noise reduction by discrete image shifting in DPIV

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Begell House
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Abstract

Image shifting by removing the integer-pixel displacement in cross-correlation analysts of single-exposure digital image pairs optimizes the accuracy for estimating the location of the displacement-correlation peak in digital particle image velocimetry (PJV). The effect is predicted by an analytical model for the statistical properties of estimators for the displacement. The predicted noise reduction is observed in the analysis of synthetic PIV images of isotropic turbulence and in actual measurements of grid-generated turbulence.

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