Innovative Image Enhancement via GANs: Addressing Noise, Resolution, and Artifact Challenges
Generative adversarial networks (GANs) are increasingly used for image enhancement tasks like denoising, super-resolution, and artifact removal. In this study, we propose a robust GAN-based architecture featuring a U-Net-style generator and DCNN-based discriminator, optimized for real-time enhanceme...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2025-08-01
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| Rangatū: | Engineering Proceedings |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2673-4591/87/1/104 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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