Double Branch Image Dehazing Algorithm Based on Probabilistic Uncertainty Modeling

Addressing the problem that deep learning methods fail to consider the uncertainty inherent in image dehazing results in real-world scenarios, this paper proposes PP-VAENet, a single-modal image dehazing method based on probabilistic uncertainty modeling. The PP-VAENet method innovatively decouples...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2025 8th International Conference on Computer Information Science and Application Technology (CISAT) S. 574 - 578
Hauptverfasser:	Zhou, Yuchao, Sun, Hongyu, Dong, Jingwei, Yan, Yinuo, Shao, Luyang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 11.07.2025
Schlagworte:	Decision making Deep learning Feature extraction Image dehazing Maximum likelihood estimation Probabilistic logic Robustness Synthetic data Uncertainty Uncertainty modeling Visual effects
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!