A ResUNet predicts per-pixel brightness and contrast parameters to automatically normalize radiographic X-ray images, achieving 24.75 dB PSNR and 0.8431 SSIM on a clinical test set.
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Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping
A ResUNet predicts per-pixel brightness and contrast parameters to automatically normalize radiographic X-ray images, achieving 24.75 dB PSNR and 0.8431 SSIM on a clinical test set.