Image Super-Resolution Reconstruction Based on Hierarchical Feature Aggregation and Laplacian High-Frequency Compensation
Results indicate that the proposed image super-resolution method provides consistent improvements over SRGAN and achieves modest, metric-dependent gains over ESRGAN, suggesting an incremental enhancement in reconstruction accuracy and perceptual quality on both natural image benchmarks and complex urban scene datasets.