ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention

ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention

Single image dehazing is a fundamental task in computer vision, aiming to recover a clear scene from a hazy input image. To address the limitations of traditional dehazing algorithms—particularly in global feature association and local detail preservation—this study proposes a novel Transformer-base...

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Bibliographic Details
Main Authors: Yanfei Chen, Tong Yue, Pei An, Hanyu Hong, Tao Liu, Yangkai Liu, Yihui Zhou
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
image dehaze
Transformer
feature extraction
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/25/12/3750
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