A hierarchically sampling global sparse transformer in data stream mining for lightweight image restoration

EURASIP Journal on Advances in Signal Processing

Table 3 Image deraining results on five datasets

Methods	Test100 [42]		Rain100H [43]		Rain100L [43]		Test2800 [44]		Test1200 [45]
Methods	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM
DerainNet [46]	22.77	0.810	14.92	0.592	27.03	0.884	24.31	0.861	23.38	0.835
SEMI [47]	22.35	0.788	16.56	0.486	25.03	0.842	24.43	0.782	26.05	0.822
DIDMDN [45]	22.56	0.818	17.35	0.524	25.23	0.741	28.13	0.867	29.65	0.901
UMRL [48]	24.41	0.829	26.01	0.832	29.18	0.923	29.97	0.905	30.55	0.910
RESCAN [49]	25.00	0.835	26.36	0.786	29.80	0.881	31.29	0.904	30.51	0.882
PreNet [50]	24.81	0.851	26.77	0.858	32.44	0.950	31.75	0.916	31.36	0.911
HST	27.97	0.869	27.73	0.843	32.70	0.938	32.72	0.931	31.54	0.914