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FreePath: Neural Mean Free Path for Image Dehazing — arXiv:2611.07398

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.07398
License (as archived): CC0-1.0
Archived: 2026-11-06T14:42:21.414Z
SHA-256 of the archived text: c70b5c926c33d8d5245bebcdaf928788ca0e6ffb05ce628cdf470fa62f5a26be
Stable URL of this page: https://metraipolis.com/documento/dc_ee24ef0fbd43

How to cite

FreePath: Neural Mean Free Path for Image Dehazing — arXiv:2611.07398 — arXiv (en), https://arxiv.org/abs/2611.07398 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ee24ef0fbd43 (Metraipolis archive dc_ee24ef0fbd43, sha256 c70b5c926c33d8d5245bebcdaf928788ca0e6ffb05ce628cdf470fa62f5a26be)

BibTeX

@misc{dcee24ef0fbd43,
  title = {FreePath: Neural Mean Free Path for Image Dehazing — arXiv:2611.07398},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.07398},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ee24ef0fbd43; sha256 c70b5c926c33d8d5245bebcdaf928788ca0e6ffb05ce628cdf470fa62f5a26be},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.07398. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Single image dehazing requires recovering scene radiance from visual responses that are weakened and veiled by participating media. Existing methods either invert explicit scattering variables, which can be unstable under complex scenes, or learn direct restoration mappings, which often discard the physical organization of haze formation. We present \emph{FreePath}, a neural mean free path framework for image dehazing. Instead of estimating atmospheric parameters, FreePath represents dehazing as feature space path state restoration, inspired by the expected distance a visual response can propagate before interacting with haze. Within a residual encoder and decoder, the Mean Free Path Residual Block learns path and collision fields to guide haze constrained correction, while FreePath State Conservation Integration preserves restored path states during deep feature aggregation. Experiments on paired CDD-11 haze images and real RTTS scenes show that FreePath consistently improves full reference fidelity, no reference perceptual quality, and visual faithfulness over representative dehazing baselines.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2611.07398 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-06T14:18:42.674Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).