Lightweight Image Super-Resolution Based on Re-Parameterization and Self-Calibrated Convolution

Table 2

Average PSNR (dB)/SSIM values with the scale factors ×2, ×3, and ×4 on Set5, Set14, BSD100, and Urban100. The best performance is highlighted in red, and the second-best performance is highlighted in blue.

Method	Scale	Params	Set5 PSNR/SSIM	Set14 PSNR/SSIM	BSD100 PSNR/SSIM	Urban100 PSNR/SSIM
SRCNN [12]	×2	8K	36.66/0.9542	32.45/0.9067	31.36/0.8879	29.50/0.8946
FSRCNN [13]	×2	13K	37.00/0.9558	32.63/0.9088	31.53/0.8920	29.88/0.9020
VDSR [14]	×2	666K	37.53/0.9587	33.03/0.9124	31.90/0.8960	30.76/0.9140
DRCN [16]	×2	1774K	37.63/0.9588	33.04/0.9118	31.85/0.8942	30.75/0.9133
LapSRN [24]	×2	251K	37.52/0.9591	32.99/0.9124	31.80/0.8952	30.41/0.9103
DRRN [17]	×2	298K	37.74/0.9591	33.23/0.9136	32.05/0.8973	31.23/0.9188
MemNet [25]	×2	678K	37.78/0.9597	33.28/0.9142	32.08/0.8978	31.31/0.9195
IDN [20]	×2	553K	37.83/0.9600	33.30/0.9148	32.08/0.8985	31.27/0.9196
EDSR-baseline [15]	×2	1370K	37.99/0.9604	33.57/0.9175	32.16/0.8994	31.98/0.9272
SRMDNF [46]	×2	1511K	37.79/0.9601	33.32/0.9159	32.05/0.8985	31.33/0.9204
CARN [19]	×2	1592K	37.76/0.9590	33.52/0.9166	32.09/0.8978	31.92/0.9256
IMDN [27]	×2	694K	38.00/0.9605	33.63/0.9177	32.19/0.8996	32.17/0.9283
MADNet [47]	×2	878K	37.94/0.9604	33.46/0.9167	32.10/0.8988	31.74/0.9246
MSICF [48]	×2	4292K	37.89/0.9605	33.41/0.9153	32.15/0.8992	31.47/0.9220
MSWSR [49]	×2	1228K	37.49/0.9583	33.23/0.9123	31.88/0.8929	31.14/0.9169
RepSCN(Ours)	×2	753K	38.01/0.9606	33.70/0.9192	32.19/0.8999	32.36/0.9307
SRCNN [12]	×3	8K	32.75/0.9090	29.30/0.8215	28.41/0.7863	26.24/0.7989
FSRCNN [13]	×3	13K	33.18/0.9140	29.37/0.8240	28.53/0.7910	26.43/0.8080
VDSR [14]	×3	666K	33.66/0.9213	29.77/0.8314	28.82/0.7976	27.14/0.8279
DRCN [16]	×3	1774K	33.82/0.9226	29.76/0.8311	28.80/0.7963	27.15/0.8276
LapSRN [24]	×3	502K	33.81/0.9220	29.79/0.8325	28.82/0.7980	27.07/0.8275
DRRN [17]	×3	298K	34.03/0.9244	29.96/0.8349	28.95/0.8004	27.53/0.8378
MemNet [25]	×3	678K	34.09/0.9248	30.00/0.8350	28.96/0.8001	27.56/0.8376
IDN [20]	×3	553K	34.11/0.9253	29.99/0.8354	28.95/0.8013	27.42/0.8359
EDSR-baseline [15]	×3	1555K	34.37/0.9270	30.28/0.8417	29.09/0.8052	28.15/0.8527
SRMDNF [46]	×3	1528K	34.12/0.9254	30.04/0.8382	28.97/0.8025	27.57/0.8398
CARN [19]	×3	1592K	34.29/0.9255	30.29/0.8407	29.06/0.8034	28.06/0.8493
IMDN [27]	×3	703K	34.36/0.9270	30.32/0.8417	29.09/0.8046	28.17/0.8519
MADNet [47]	×3	930K	34.26/0.9262	30.29/0.8410	29.04/0.8033	27.91/0.8464
MSICF [48]	×3	4292K	34.24/0.9266	30.09/0.8371	29.01/0.8024	27.69/0.8411
MSWSR [49]	×3	—	−/−	−/−	−/−	−/−
RepSCN(Ours)	×3	761K	34.49/0.9277	30.38/0.8433	29.09/0.8054	28.30/0.8553
SRCNN [12]	×4	8K	30.48/0.8628	27.50/0.7513	26.90/0.7101	24.52/0.7221
FSRCNN [13]	×4	13K	30.72/0.8660	27.61/0.7550	26.98/0.7150	24.62/0.7280
VDSR [14]	×4	666K	31.35/0.8838	28.01/0.7674	27.29/0.7251	25.18/0.7524
DRCN [16]	×4	1774K	31.53/0.8854	28.02/0.7670	27.23/0.7233	25.14/0.7510
LapSRN [24]	×4	502K	31.54/0.8852	28.09/0.7700	27.32/0.7275	25.21/0.7562
DRRN [17]	×4	298K	31.68/0.8888	28.21/0.7720	27.38/0.7284	25.44/0.7638
MemNet [25]	×4	678K	31.74/0.8893	28.26/0.7723	27.40/0.7281	25.50/0.7630
IDN [20]	×4	553K	31.82/0.8903	28.25/0.7730	27.41/0.7297	25.41/0.7632
EDSR-baseline [15]	×4	1518K	32.09/0.8938	28.58/0.7813	27.57/0.7357	26.04/0.7849
SRMDNF [46]	×4	1552K	31.96/0.8925	28.35/0.7787	27.49/0.7337	25.68/0.7731
CARN [19]	×4	1592K	32.13/0.8937	28.60/0.7806	27.58/0.7349	26.07/0.7837
IMDN [27]	×4	715K	32.21/0.8948	28.58/0.7811	27.56/0.7353	26.04/0.7838
MADNet [47]	×4	1002K	32.11/0.8939	28.52/0.7799	27.52/0.7340	25.89/0.7782
MSICF [48]	×4	4292K	31.91/0.8923	28.35/0.7751	27.46/0.7308	25.64/0.7692
MSWSR [49]	×4	1228K	32.01/0.8914	28.47/0.7776	27.48/0.7311	25.78/0.7744
RepSCN(Ours)	×4	772K	32.22/0.8953	28.61/0.7820	27.58/0.7363	26.17/0.7881