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
Abbas
Hair removal algorihm by Abbas et al. Implementation provided by the authors. Abbas, Qaisar, M. Emre Celebi, and Irene Fondón García. "Hair removal methods: a comparative study for dermoscopy images." Biomedical Signal Processing and Control 6.4 (2011): 395-404.Results
Sample | Vifp | Uqi | Msssim | P hvs m | P hvs | Mse | Ssim | Psnr | Rmse |
---|---|---|---|---|---|---|---|---|---|
IMD006 | 0.964 | 0.998 | 0.891 | 29.205 | 28.709 | 64.073 | 0.815 | 30.064 | 8.005 |
IMD010 | 0.961 | 0.997 | 0.889 | 29.528 | 28.749 | 98.376 | 0.805 | 28.202 | 9.918 |
IMD017 | 0.957 | 0.994 | 0.918 | 28.996 | 28.385 | 67.983 | 0.820 | 29.807 | 8.245 |
IMD018 | 0.969 | 0.998 | 0.897 | 28.101 | 27.664 | 117.432 | 0.828 | 27.433 | 10.837 |
IMD019 | 0.962 | 0.997 | 0.909 | 27.940 | 27.297 | 90.699 | 0.820 | 28.555 | 9.524 |
IMD020 | 0.951 | 0.997 | 0.873 | 26.927 | 26.383 | 138.996 | 0.780 | 26.701 | 11.790 |
IMD030 | 0.961 | 0.996 | 0.919 | 29.119 | 28.429 | 76.885 | 0.807 | 29.272 | 8.768 |
IMD033 | 0.954 | 0.997 | 0.888 | 27.856 | 27.260 | 94.489 | 0.788 | 28.377 | 9.721 |
IMD044 | 0.954 | 0.994 | 0.927 | 29.744 | 29.159 | 78.288 | 0.847 | 29.194 | 8.848 |
IMD050 | 0.966 | 0.997 | 0.890 | 30.000 | 29.550 | 55.624 | 0.817 | 30.678 | 7.458 |
IMD061 | 0.932 | 0.993 | 0.842 | 26.186 | 25.351 | 170.740 | 0.731 | 25.807 | 13.067 |
IMD063 | 0.956 | 0.994 | 0.924 | 28.670 | 28.095 | 82.451 | 0.810 | 28.969 | 9.080 |
IMD075 | 0.962 | 0.995 | 0.923 | 28.238 | 27.575 | 82.107 | 0.803 | 28.987 | 9.061 |
Mean | 0.958 | 0.996 | 0.899 | 28.501 | 27.893 | 93.703 | 0.805 | 28.619 | 9.563 |