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Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jul 23, 2023 · Artificial Intelligence

Ten Deep Learning Based Image Dehazing Algorithms: Principles, Implementations, and Comparisons

This article reviews ten state‑of‑the‑art single‑image dehazing methods—including DehazeNet, MSCNN, AOD‑Net, NLD, SSLD, EPDN, DAD, PSD, MSBDN and GFN—detailing their underlying atmospheric scattering models, network architectures, training pipelines, advantages, drawbacks, and providing links to papers, code repositories and illustrative results.

AICNNDeep Learning
0 likes · 28 min read
Ten Deep Learning Based Image Dehazing Algorithms: Principles, Implementations, and Comparisons
DataFunTalk
DataFunTalk
Jun 30, 2022 · Artificial Intelligence

Self‑Augmented Unpaired Image Dehazing via Density and Depth Decomposition (D4)

The paper introduces D4, a self‑augmented unpaired image dehazing framework that decomposes the transmission map into fog density and scene depth, enabling realistic fog synthesis for data augmentation and achieving superior dehazing performance with fewer parameters and FLOPs on multiple benchmarks.

CVPR2022Depth Estimationcomputer vision
0 likes · 14 min read
Self‑Augmented Unpaired Image Dehazing via Density and Depth Decomposition (D4)