Multispectral Demosaicing on HELICoiD
44.84PSNRPEFD
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PEFD2026.03 | 44.84 | 99.2 | 0.042 | 4.46 | |
| GaussianKernel Size=9x92026.03 | 40.98 | 98.3 | 0.034 | 6.13 | |
| Garcia-Barajas et al.Architecture=DnCNN [53], Loss Function=rotate-EI loss [7]2026.03 | 40.98 | 98.3 | 0.034 | 6.14 | |
| PPID2026.03 | 40.77 | 97.9 | 0.038 | 6.9 | |
| Li et al.Base Model=EDSR [34]2026.03 | 40.65 | 97 | 0.039 | 6.18 | |
| Feng et al.Architecture=SDNet, Loss Function=shift-EI loss [6]2026.03 | 40.64 | 98.2 | 0.038 | 6.16 | |
| Weighted-Bilin.Kernel Size=7x72026.03 | 40.62 | 98.2 | 0.038 | 6.17 | |
| BilinearKernel Size=5x52026.03 | 40.01 | 98 | 0.051 | 6.72 | |
| MCFinetuning Strategy=measurement consistency2026.03 | 35.5 | 88.6 | 0.139 | 13.5 | |
| Liu et al.Loss Function=limited-pixel shift-equivariant loss2026.03 | 33.11 | 90.1 | 0.343 | 17.2 | |
| DIPArchitecture=16-channel convolutional decoder network2026.03 | 32.15 | 91.4 | 0.138 | 18.69 | |
| Mosaiced2026.03 | 24.09 | 33 | 1.366 | 30.7 | |
| TVOptimization=proximal gradient descent2026.03 | 21.82 | 77.05 | 0.091 | 5.84 |