Hair Removal (GAN)
Hair Removal benchmark using hairless samples from the PH2 database and the GAN-based deep neural network by Attia et al. to simulate hair on them.Method
Toossi
Hair removal algorithm by Toossi et al. Implementation provided by the authors. Toossi, Mohammad Taghi Bahreyni, et al. "An effective hair removal algorithm for dermoscopy images." Skin Research and Technology 19.3 (2013): 230-235.Results
Sample | Vifp | Uqi | Msssim | P hvs m | P hvs | Mse | Ssim | Psnr | Rmse |
---|---|---|---|---|---|---|---|---|---|
IMD006 | 0.964 | 0.998 | 0.890 | 29.316 | 28.807 | 62.440 | 0.810 | 30.176 | 7.902 |
IMD010 | 0.961 | 0.997 | 0.880 | 29.349 | 28.597 | 100.956 | 0.798 | 28.089 | 10.048 |
IMD017 | 0.956 | 0.994 | 0.914 | 28.921 | 28.299 | 68.982 | 0.812 | 29.743 | 8.306 |
IMD018 | 0.970 | 0.998 | 0.898 | 28.395 | 27.949 | 113.634 | 0.827 | 27.576 | 10.660 |
IMD019 | 0.961 | 0.997 | 0.906 | 27.856 | 27.202 | 91.594 | 0.812 | 28.512 | 9.570 |
IMD020 | 0.952 | 0.997 | 0.871 | 27.260 | 26.684 | 132.544 | 0.772 | 26.907 | 11.513 |
IMD030 | 0.960 | 0.996 | 0.914 | 29.035 | 28.339 | 79.211 | 0.797 | 29.143 | 8.900 |
IMD033 | 0.954 | 0.997 | 0.884 | 27.939 | 27.315 | 93.278 | 0.776 | 28.433 | 9.658 |
IMD044 | 0.952 | 0.994 | 0.921 | 29.693 | 29.082 | 78.674 | 0.839 | 29.172 | 8.870 |
IMD050 | 0.966 | 0.997 | 0.889 | 30.080 | 29.622 | 55.452 | 0.813 | 30.692 | 7.447 |
IMD061 | 0.931 | 0.993 | 0.850 | 26.428 | 25.550 | 168.469 | 0.716 | 25.866 | 12.980 |
IMD063 | 0.956 | 0.994 | 0.923 | 28.757 | 28.174 | 81.598 | 0.807 | 29.014 | 9.033 |
IMD075 | 0.962 | 0.995 | 0.921 | 28.315 | 27.638 | 80.600 | 0.798 | 29.067 | 8.978 |
Mean | 0.957 | 0.996 | 0.897 | 28.565 | 27.943 | 92.879 | 0.798 | 28.645 | 9.528 |