AI RESEARCH
UIESNN: A Scale-Aware Spiking Network for Underwater Image Enhancement
arXiv CS.CV
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ArXi:2605.08376v1 Announce Type: new Underwater image enhancement (UIE) is a practically important yet underexplored application of spiking neural networks (SNNs), where the dominant degradations are large-scale and low-frequency, such as wavelength-dependent colour casts and scattering-induced veiling. Existing SNN restoration designs rely on locally bounded spiking perception, which can limit global correction and lead to saturated or inconsistent representations. To address these challenges, we propose a scale-aware SNN framework for UIE named.