BlindPSNR: A No-Reference Fidelity Predictor for Low-Light Image Enhancement
BlindPSNR is proposed, a lightweight no-reference network that fuses the enhanced image with the degraded low-light input via windowed cross-attention and estimates PSNR through heteroscedastic regression, providing exact supervision without a separate teacher network.