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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Teknika
المؤلفون الرئيسيون: Sani Moch Sopian, Arief Suryadi Satyawan, Mokhammad Mirza Etnisa Haqiqi, Helfy Susilawati, Beni Wijaya, Khaulyca Arva Artemysia, Firman, Muhammad Ikbal Samie
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Center for Research and Community Service, Institut Informatika Indonesia Surabaya 2025-07-01
الموضوعات:
Dehazing
CycleGAN
Deep Learning
Residual Block
Attention Mechanism
الوصول للمادة أونلاين:https://ejournal.ikado.ac.id/index.php/teknika/article/view/1235

الانترنت

https://ejournal.ikado.ac.id/index.php/teknika/article/view/1235

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