List your company

Multispectral Demosaicing on HyKo

34.81PSNRPEFD
10.390816.730423.0729.4096Mar 2, 2026

Evaluation results

MethodLinks
PEFD2026.0334.8193.80.064
GaussianKernel Size=9x92026.0332.5791.50.044
Garcia-Barajas et al.Architecture=DnCNN [53], Loss Function=rotate-EI loss [7]2026.0332.5791.50.045
PPID2026.0331.4690.10.052
Feng et al.Architecture=SDNet, Loss Function=shift-EI loss [6]2026.0330.95900.052
Liu et al.Loss Function=limited-pixel shift-equivariant loss2026.0330.5685.80.118
BilinearKernel Size=5x52026.0330.55900.064
Weighted-Bilin.Kernel Size=7x72026.0330.3889.60.055
Li et al.Base Model=EDSR [34]2026.0329.1588.30.059
DIPArchitecture=16-channel convolutional decoder network2026.0328.4388.80.168
TVOptimization=proximal gradient descent2026.0323.0874.40.045
MCFinetuning Strategy=measurement consistency2026.0321.7455.60.169
Mosaiced2026.0311.337.21.33