AI RESEARCH
Single Image Defogging Using a Fourth-Order Telegraph PDE Guided by Physical Haze Modeling
arXiv CS.CV
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ArXi:2605.00878v1 Announce Type: new In real-world scenarios, image defogging is an inverse problem due to unknown scene depth, atmospheric scattering, and the common absence of ground truth. To resolve the issue, we propose a hybrid defogging model that integrates a fourth-order nonlinear PDE with a physical haze formation model. We used Dark Channel Prior to estimate atmospheric parameters and to generate a guidance image, while the final restoration is performed via a fourth-order PDE-based evolution.