Table 1. Open in new tab Quantitative... | Oxford Academic

Table 1.

Open in new tab

Quantitative evaluation by different algorithms for the Marmousi model.

	Noise-free case			Noisy case
	PSNR	SSIM	RMSE	PSNR	SSIM	RMSE
Initialize	19.19	0.62	0.11	19.19	0.62	0.11
TV–FWI	23.25	0.78	0.07	23.20	0.78	0.07
BM3D–FWI	23.57	0.79	0.07	23.51	0.78	0.07
FFDNet–FWI	22.86	0.75	0.07	22.79	0.75	0.07
PPR–FWI	23.81	0.80	0.06	23.75	0.80	0.06

	Noise-free case			Noisy case
	PSNR	SSIM	RMSE	PSNR	SSIM	RMSE
Initialize	19.19	0.62	0.11	19.19	0.62	0.11
TV–FWI	23.25	0.78	0.07	23.20	0.78	0.07
BM3D–FWI	23.57	0.79	0.07	23.51	0.78	0.07
FFDNet–FWI	22.86	0.75	0.07	22.79	0.75	0.07
PPR–FWI	23.81	0.80	0.06	23.75	0.80	0.06

Table 1.

Open in new tab

Quantitative evaluation by different algorithms for the Marmousi model.

	Noise-free case			Noisy case
	PSNR	SSIM	RMSE	PSNR	SSIM	RMSE
Initialize	19.19	0.62	0.11	19.19	0.62	0.11
TV–FWI	23.25	0.78	0.07	23.20	0.78	0.07
BM3D–FWI	23.57	0.79	0.07	23.51	0.78	0.07
FFDNet–FWI	22.86	0.75	0.07	22.79	0.75	0.07
PPR–FWI	23.81	0.80	0.06	23.75	0.80	0.06

	Noise-free case			Noisy case
	PSNR	SSIM	RMSE	PSNR	SSIM	RMSE
Initialize	19.19	0.62	0.11	19.19	0.62	0.11
TV–FWI	23.25	0.78	0.07	23.20	0.78	0.07
BM3D–FWI	23.57	0.79	0.07	23.51	0.78	0.07
FFDNet–FWI	22.86	0.75	0.07	22.79	0.75	0.07
PPR–FWI	23.81	0.80	0.06	23.75	0.80	0.06