Laser & Optoelectronics Progress, Volume. 58, Issue 2, 0210012(2021)
Double Branch Residual Network for Demosaicing
Figures & Tables(8)
Table 1. Objective evaluation of different algorithms on Kodak dataset
View tableTable 1. Objective evaluation of different algorithms on Kodak dataset
Channel AP AHD DLMMSE GBTF LSSC PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM R 38.00/0.9790 36.98/0.9718 39.17/0.979 39.66/0.9834 40.51/0.9847 G 41.53/0.9882 39.63/0.9827 42.62/0.9896 43.32/0.9914 44.30/0.9924 B 38.61/0.9792 37.30/0.9705 39.57/0.9784 40.00/0.9830 40.65/0.9835 Color 39.08/0.9822 37.76/0.975 40.10/0.9824 40.61/0.9859 41.43/0.9869 Channel IGD NAT CS RI MLRI PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM R 39.66/0.9833 36.98/0.9709 39.04/0.9811 37.93/0.9762 38.87/0.9807 G 43.39/0.9913 39.43/0.9815 42.64/0.9902 40.99/0.9869 41.82/0.9889 B 40.02/0.9829 37.11/0.9692 39.16/0.9801 37.82/0.9734 38.85/0.9792 Color 40.63/0.9858 37.68/0.9738 39.91/0.9838 38.61/0.9788 39.57/0.9829 Channel AICC ARI CNNCDM Proposed-C Proposed-A PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM R 40.36/0.9857 39.16/0.9796 41.38/0.9862 42.51/0.9890 42.51/0.9891 G 43.09/0.9904 42.42/0.9884 44.84/0.9924 46.40/0.9943 46.41/0.9944 B 39.46/0.9797 38.98/0.9765 41.04/0.9841 42.23/0.9872 42.24/0.9873 Color 40.67/0.9852 39.87/0.9815 42.04/0.9876 43.25/0.9902 43.25/0.9903
Table 2. Objective evaluation of different algorithms on McMaster dataset
View tableTable 2. Objective evaluation of different algorithms on McMaster dataset
Channel AP AHD DLMMSE GBTF LSSC PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM R 32.79/0.9235 32.99/0.9267 34.02/0.9308 33.97/0.9373 36.02/0.9554 G 34.87/0.9417 36.97/0.9611 37.98/0.9631 37.34/0.9618 38.81/0.9733 B 31.98/0.8847 32.15/0.8819 33.03/0.8892 33.06/0.8977 34.71/0.9267 Color 33.01/0.9167 33.49/0.9232 34.46/0.9277 34.37/0.9323 36.15/0.9518 Channel IGD NAT CS RI MLRI PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM R 34.32/0.9409 36.27/0.9536 35.55/0.9564 36.1/0.9597 36.34/0.9605 G 37.37/0.9622 39.76/0.9729 38.84/0.9754 39.99/0.9797 39.90/0.9787 B 33.45/0.9045 34.39/0.9181 34.57/0.9301 35.37/0.9403 35.36/0.9388 Color 34.69/0.9359 36.20/0.9482 35.91/0.954 36.50/0.9599 36.62/0.9593 Channel AICC ARI CNNCDM Proposed-C Proposed-A PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM R 35.65/0.959 37.36/0.9666 39.14/0.9715 39.94/0.9753 40.19/0.9764 G 39.21/0.9756 40.67/0.9828 42.10/0.9844 42.72/0.9857 42.92/0.9861 B 34.33/0.9290 36.04/0.9433 37.30/0.9507 37.94/0.9550 38.06/0.9559 Color 35.85/0.9545 37.49/0.9642 38.97/0.9689 39.65/0.972 39.82/0.9728
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Jihui Yu, Xiaomin Yang. Double Branch Residual Network for Demosaicing[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210012
Paper Information
Category: Image Processing
Received: May. 6, 2020
Accepted: Jun. 30, 2020
Published Online: Jan. 8, 2021
The Author Email: Yang Xiaomin (877435317@qq.com)
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