DeepVideoDehazeNet: A Comprehensive Deep Learning Approach for Video Dehazing Using Diverse Datasets

Video dehazing is a technique commonly used to enhance the quality of videos that appear hazy or degraded due to factors like air scattering and light absorption. Unlike working with individual frames, video-based approaches leverage information from neighboring frames to achieve better dehazing res...

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Opis bibliograficzny

Główni autorzy:	Sandeep Vishwakarma, Anuradha Pillai, Deepika Punj
Format:	Artigo
Język:	Inglês
Wydane:	Ram Arti Publishers 2025-08-01
Seria:	International Journal of Mathematical, Engineering and Management Sciences
Hasła przedmiotowe:	convolutional neural networks multi-scale dehazing depth estimation real-time video dehazing deep learning
Dostęp online:	https://www.ijmems.in/cms/storage/app/public/uploads/volumes/53-IJMEMS-24-0514-10-4-1100-1122-2025.pdf
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