A Hybrid Prior-Based Framework for Infrared Image Enhancement Towards Reliable Scene Interpretation
A Hybrid Prior Enhanced Decomposition (HPED) model is proposed, a training-free, model-driven framework that incorporates structural and luminance priors into a multi-stage enhancement pipeline, outperforming all competing methods and suggesting potential applicability in downstream machine perception tasks such as detection and tracking.