| BM4D | Block-Matching and 4D Filtering |
| BN | Batch Normalization |
| DC-SRGAN | Deep Convolutional Super-Resolution Generative Adversarial Network |
| EAPT | Efficient Attention Pyramid Transformer |
| EDSR | Enhanced Deep Super-Resolution Network |
| ESRGAN | Enhanced Super-Resolution Generative Adversarial Networks |
| FAGAN | Fusion Attention of Generative Adversarial Networks |
| GAN | Generative Adversarial Network |
| HCSA | Hybrid Channel-Spatial Attention |
| HR | High-Resolution |
| LR | Low-Resolution |
| MAE | Mean Absolute Error |
| MFAGAN | Multi-Scale Fusion Attention Mechanisms of Generative Adversarial Networks |
| MSE | Mean Squared Error |
| MSM1 | Fixed-Scale Multi-Scale Module |
| MSM2 | 1/2 Downsampling Multi-Scale Module |
| MSRAFFN | Multi-Scale Recursive Attention Feature Fusion Network |
| PSNR | Peak Signal-to-Noise Ratio |
| SAT-Net | Structure-Aware Transformer-Based Attention Fusion Network |
| SR | Super-Resolution |
| SRCNN | Super-Resolution Convolutional Neural Network |
| SRCycleGAN | Super-Resolution Cycle-Consistent Generative Adversarial Network |
| SRDUN | Super-Resolution Dense U-Net |
| SRGAN | Super-Resolution Generative Adversarial Network |
| SSIM | Structural Similarity Index |
| TMSDNet | Transformer with Multi-Scale Dense Network |
| U-Net | U-Net Convolutional Neural Network |
| VGG | Visual Geometry Group Network |