Development of a Modified CycleGAN Model with Residual Blocks and Perceptual Loss for Image Dehazing

Fog reduces image contrast and clarity, creating challenges for applications such as autonomous driving and remote sensing. This study proposes a series of CycleGAN modifications for single image dehazing using unpaired data, integrating residual blocks, attention mechanisms, VGG19-based perceptual...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Sani Moch Sopian, Arief Suryadi Satyawan, Mokhammad Mirza Etnisa Haqiqi, Helfy Susilawati, Beni Wijaya, Khaulyca Arva Artemysia, Firman, Muhammad Ikbal Samie
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Center for Research and Community Service, Institut Informatika Indonesia Surabaya 2025-07-01
Цуврал:	Teknika
Нөхцлүүд:	Dehazing CycleGAN Deep Learning Residual Block Attention Mechanism
Онлайн хандалт:	https://ejournal.ikado.ac.id/index.php/teknika/article/view/1235
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!