ReMATF proposes a lightweight recurrent multi-scale network for atmospheric turbulence mitigation in dynamic videos that uses two-frame recurrent processing with motion-adaptive per-pixel fusion to enhance efficiency and coherence.
In: 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)
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The DTPPMP system achieves 98.6% F1 score in collar recognition for self-locating perforating at 1000 Sa/s using dynamic threshold and physical plausibility algorithms that run in 1.5 μs per sample.
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ReMATF: Recurrent Motion-Adaptive Multi-scale Turbulence Mitigation for Dynamic Scenes
ReMATF proposes a lightweight recurrent multi-scale network for atmospheric turbulence mitigation in dynamic videos that uses two-frame recurrent processing with motion-adaptive per-pixel fusion to enhance efficiency and coherence.
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Realization of Precise Perforating Using Dynamic Threshold and Physical Plausibility Algorithm for Self-Locating Perforating in Oil and Gas Wells
The DTPPMP system achieves 98.6% F1 score in collar recognition for self-locating perforating at 1000 Sa/s using dynamic threshold and physical plausibility algorithms that run in 1.5 μs per sample.