Degradation-aware contrastive learning with frequency-spatial fusion: a two-stage framework for no-reference image quality assessment
A two-stage framework integrating degradation-aware self-supervised contrastive pre-training with frequency-spatial domain feature learning is proposed, offering a reliable solution for NR-IQA in real-world multimedia systems and advancing the alignment between computational quality assessment and human visual percepti...