Adding a differentiable Wiener filter and an MSE+SSIM+perceptual loss to a U-Net improves desmoking metrics on the in vivo laparoscopic benchmark relative to Pix2Pix and a plain U-Net.
Removal of smoke effects in laparoscopic surgery via adversarial neural network and the dark channel prior,
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Laparoscopic Image Desmoking Using the U-Net with New Loss Function and Integrated Differentiable Wiener Filter
Adding a differentiable Wiener filter and an MSE+SSIM+perceptual loss to a U-Net improves desmoking metrics on the in vivo laparoscopic benchmark relative to Pix2Pix and a plain U-Net.