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.
The smoothing nature of color mapping attenuates original edge and texture details, complicating subsequent high-frequency restoration
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.