Fringe pattern denoising with a deep neural network

doi:10.1016/j.optlaseng.2025.109134

Fringe pattern denoising with a deep neural network

2025-06-10

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AI

José Ismael De la Rosa Vargas

J

Jorge L. Flores

G

Guillermo García–Torales

DOI：10.1016/j.optlaseng.2025.109134

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Abstract

En 中文

• Parameter-free DNN Filter for interferometric images, avoiding manual tuning and fringe orientation estimation. • Synthetic dataset with modeled fringes and noise profiles ensures robust generalization. • Faster inference than CNNs with competitive NRMSE, thanks to a streamlined fully connected design.

Fringe pattern denoising with a deep neural network

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