Guru Gobind Singh Indraprastha University

Medical X-ray super-resolution has long relied on VGG perceptual loss designed for natural images, and reconstructed structure can drift from anatomy. A domain-aware loss called USELoss replaces VGG features with multi-scale features from a lightweight U-Net encoder and adds a Sobel edge constraint, applied with identical loss weights to both ESRGAN and HAT. On the PadChest chest X-ray test set, ESRGAN rises from 22.21 to 34.04 dB PSNR and from 0.5545 to 0.9160 SSIM, with edge error cut by about 46%.

Medical X-ray super-resolution has long relied on VGG perceptual loss designed for natural images, and reconstructed structure can drift from anatomy. A domain-aware loss called USELoss replaces VGG features with multi-scale features from a lightweight U-Net encoder and adds a Sobel edge constraint, applied with identical loss weights to both ESRGAN and HAT. On the PadChest chest X-ray test set, ESRGAN rises from 22.21 to 34.04 dB PSNR and from 0.5545 to 0.9160 SSIM, with edge error cut by about 46%.