214
6 Deep Learning and RFID System Physical Anti-Collision
Fig. 6.10 Comparison of the denoising methods. The left side is as follows: a Noisy image σ =
20; b WNNM PSNR = 39.7230; c DnCNN PSNR = 42.2401; d FDnCNN PSNR = 42.7822; The
right side is as follows: e Noisy image σ = 35; f WNNM PSNR = 36.4589; g DnCNN PSNR =
38.0746; h FDnCNN PSNR = 40.2685
6 Deep Learning and RFID System Physical Anti-Collision
Fig. 6.10 Comparison of the denoising methods. The left side is as follows: a Noisy image σ =
20; b WNNM PSNR = 39.7230; c DnCNN PSNR = 42.2401; d FDnCNN PSNR = 42.7822; The
right side is as follows: e Noisy image σ = 35; f WNNM PSNR = 36.4589; g DnCNN PSNR =
38.0746; h FDnCNN PSNR = 40.2685