This novel #MachineLearning method helps detect thermal faults in industrial blowers quickly and accurately. It combines infrared and optical #ImageFusion, semantic segmentation, and temperature clustering networks. Read more: ieee-sensorsalert.org
#EngineeringInnovation

Gradient-Based Multi-Focus Image Fusion Improves Sharp Boundaries

A gradient-based multi-focus image fusion technique keeps border sharpness; it outperformed twelve state-of-the-art methods on four public datasets. Submitted September 2025. Read more: getnews.me/gradient-based-multi-foc... #multifocus #imagefusion

SPD Manifold Learning Boosts Infrared‑Visible Image Fusion

SMLNet uses symmetric positive-definite manifold learning to fuse infrared and visible images, preserving non-Euclidean data structure. The authors say it outperforms state-of-the-art methods. getnews.me/spd-manifold-learning-bo... #spdmanifold #imagefusion

Neurodynamics‑Driven CNP Fusion Improves Multi‑Focus Image Fusion

ND‑CNPFuse, a CNP system, creates decision maps for multi‑focus image fusion and achieved top results on four benchmark datasets (Lytro, MFFW, MFI‑WHU, Real‑MFF). Code released. getnews.me/neurodynamics-driven-cnp... #multifocus #imagefusion

Efficient Rectified Flow Boosts One‑Step Image Fusion with AI

RFfusion uses Rectified Flow for image fusion in a single deterministic step, cutting inference time and preserving sharp edges. The model and pretrained weights are on GitHub. getnews.me/efficient-rectified-flow... #imagefusion #rectifiedflow