6thGrid-Net combines 3D LUT color restoration with bilateral grids via a manifold-adaptive six-dimensional tensor and dynamic sampling to dehaze remote sensing images in one pass while reducing artifacts and model size.
For a corner with spatial offset (∆x, ∆y), we evaluate the maximum gradient magnitude along the line segment
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6thGrid-Net: Unified Remote Sensing Image Dehazing Based on Color Restoration and Edge-Preserving
6thGrid-Net combines 3D LUT color restoration with bilateral grids via a manifold-adaptive six-dimensional tensor and dynamic sampling to dehaze remote sensing images in one pass while reducing artifacts and model size.