Multiscale implicit frequency selective network for single-image dehazing
Image dehazing is aimed to reconstruct a clear latent image from a degraded image affected by haze. Although vision transformers have achieved impressive success in various computer vision tasks, the limitations in scale and quality of available datasets have hindered the transformer effectiveness f...
Saved in:
| Main Authors: | Zhibo Wang, Jia Jia, Jeongik Min |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Electronics and Telecommunications Research Institute (ETRI)
2025-08-01
|
| Series: | ETRI Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.4218/etrij.2024-0146 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MCRFS-Net: single image dehazing based on multi-scale contrastive regularization and frequency selection
by: Qin Qin, et al.
Published: (2025-07-01) -
CCD-Net: Color-Correction Network Based on Dual-Branch Fusion of Different Color Spaces for Image Dehazing
by: Dongyu Chen, et al.
Published: (2025-03-01) -
DehazeMamba: large multi-modal model guided single image dehazing via mamba
by: Ruikun Zhang, et al.
Published: (2025-07-01) -
Image dehazing algorithm based on deep transfer learning and local mean adaptation
by: Dongyang Shi, et al.
Published: (2025-07-01) -
Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization
by: Amandeep Kaur, et al.
Published: (2025-07-01)