Efficient Adaptive Feature Fusion Network for Remote-Sensing Image Super-Resolution

S Hao, S Liu, X Jia, H Lu, Y He - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
Image super-resolution is a fundamental low-level vision task aimed at recovering high-
resolution images with fine details. Deep learning has significantly enhanced the …

IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model

Y Huang, T Miyazaki, X Liu, S Omachi - arXiv preprint arXiv:2405.09873, 2024 - arxiv.org
Infrared (IR) image super-resolution faces challenges from homogeneous background pixel
distributions and sparse target regions, requiring models that effectively handle long-range …

GDSSR: Toward Real-World Ultra-High-Resolution Image Super-Resolution

Y Chi, W Yang, Y Tian - IEEE Signal Processing Letters, 2023 - ieeexplore.ieee.org
Although single image super-resolution (SR) has achieved great success, super-resolving
the real-world Ultra-High-Resolution (UHR) image remains a challenging issue. Confronted …