We describe a new super-resolution method of particle-image velocimetry (PIV) based on Kalman filtering and χ2-testing.Performance of the "super-resolution KC" method is evaluated by Monte-Carlo simulation and by applying the method to measurements of flow fields recorded in the form of double-pulse/single-frame and single-pulse/double-frame particle images.When the images have good contrast, and depending on the intensity of the velocity gradients present in the flow, the super-resolution KC method is able to extract valid measurements from 80 to 100% of the available image pairs.In these tests, the vector yield is increased by more than five times compared to standard PIV analysis.
ASJC Scopus subject areas
- Computational Mechanics
- Mechanics of Materials
- Physics and Astronomy(all)
- Fluid Flow and Transfer Processes