SynthPix: A lightspeed PIV image generator

We describe SynthPix, a synthetic image generator for Particle Image Velocimetry (PIV) with a focus on performance and parallelism on accelerators, implemented in JAX. SynthPix produces PIV image pairs from prescribed flow fields while exposing a configuration interface aligned with common PIV imaging and acquisition parameters (e.g., seeding density, particle image size, illumination nonuniformity, noise, blur, and timing). In contrast to offline dataset generation workflows, SynthPix is built to stream images on-the-fly directly into learning and benchmarking pipelines, enabling data-hungry methods and closed-loop procedures—such as adaptive sampling and acquisition/parameter co-design—without prohibitive storage and input–output costs. We demonstrate that SynthPix is compatible with a broad range of application scenarios, including controlled laboratory experiments and riverine image velocimetry, and supports rapid sweeps over nuisance factors for systematic robustness evaluation. SynthPix is a tool that supports the flow quantification community and in this paper we describe the main ideas behind the software package.

Authors

Publication Details

Journal
SoftwareX
Published
2026-04-13
DOI
https://doi.org/10.1016/j.softx.2026.102642
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

SynthPix: A lightspeed PIV image generator

Raffaello D’Andrea, Antonio Terpin, Francesco Banelli
SoftwareX
Model Reduction and Neural Networks
article

SynthPix: A lightspeed PIV image generator

Raffaello D’Andrea, Antonio Terpin, Francesco Banelli
article en

Abstract

We describe SynthPix, a synthetic image generator for Particle Image Velocimetry (PIV) with a focus on performance and parallelism on accelerators, implemented in JAX. SynthPix produces PIV image pairs from prescribed flow fields while exposing a configuration interface aligned with common PIV imaging and acquisition parameters (e.g., seeding density, particle image size, illumination nonuniformity, noise, blur, and timing). In contrast to offline dataset generation workflows, SynthPix is built to stream images on-the-fly directly into learning and benchmarking pipelines, enabling data-hungry methods and closed-loop procedures—such as adaptive sampling and acquisition/parameter co-design—without prohibitive storage and input–output costs. We demonstrate that SynthPix is compatible with a broad range of application scenarios, including controlled laboratory experiments and riverine image velocimetry, and supports rapid sweeps over nuisance factors for systematic robustness evaluation. SynthPix is a tool that supports the flow quantification community and in this paper we describe the main ideas behind the software package.

SoftwareXVol. 34
Openalex Percentile: Top 98%
Model Reduction and Neural Networks
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SynthPix: A lightspeed PIV image generator — Raffaello D’Andrea, Antonio Terpin, et al. · SoftwareX (2026) | TGRS Research Map | TGRS