Image Denoising on CBSD68 (Multi-Noise Level Evaluation) benchmark leaderboard · SOTA2 Research

Image Denoising on CBSD68 (Multi-Noise Level Evaluation)

30.46PSNR (σ²=0.02)Ours

Evaluation Results

Method	Links
Ours2023.03		30.46	0.8777	0.1435	30.08	0.8697	0.1511	29.49	0.8502	0.1691	28.53	0.8169	0.206
RIDNet2023.03		30.11	0.8404	0.1597	28.75	0.8044	0.1884	27.03	0.759	0.2305	24.87	0.6999	0.2927
DnCNN2023.03		29.9	0.838	0.1699	28.57	0.8044	0.1982	26.9	0.761	0.2374	24.84	0.7035	0.2996
RNAN2023.03		29.36	0.8228	0.1593	27.95	0.7883	0.1872	26.28	0.7451	0.2276	24.28	0.687	0.2893
Restormer2023.03		29.16	0.8279	0.1518	28.13	0.8015	0.1742	26.84	0.7667	0.2049	25.17	0.7202	0.2523
Dropout2023.03		29.13	0.8447	0.1684	28.28	0.8171	0.1953	27.16	0.7804	0.2347	25.69	0.7311	0.2936
baseline2023.03		29.11	0.8122	0.1794	27.75	0.7801	0.2077	26.15	0.7393	0.2465	24.19	0.6837	0.305
SwinIR2023.03		28.89	0.8101	0.1602	27.55	0.7774	0.1867	25.98	0.7362	0.2251	24.07	0.681	0.2849