PolAttNet: A Deep Learning Framework for Polarized Image Reflection Removal With Multi-Attention Mechanisms

Reflection removal is a crucial yet challenging task in computer vision, essential for enhancing image clarity and visibility in applications such as autonomous navigation, medical imaging diagnostics, and digital photography. However, existing methods often struggle with complex reflections and und...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Chao Wang, Daisuke Miyazaki
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Reflection removal polarized images attention mechanisms deep learning ConvNeXt blocks group normalization
Online Access:	https://ieeexplore.ieee.org/document/10884746/