EURASIP Journal on Advances in Signal Processing

Table 7 SSIM and PSNR performance achieved by different depth enhancement methods on Middlebury dataset and RGBD dataset

Methods	Art		Books		Doily		Moebius		RGBD_1		RGBD_2
Methods	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR
JBF [16] + CHF	0.9880	36.0083	0.9754	33.8966	0.9913	44.6455	0.9912	39.7306	0.9561	29.8534	0.9686	33.6112
IGDS [39] + CHF	0.9911	37.4257	0.9913	37.2058	0.9951	47.7032	0.9887	38.1115	0.9610	29.9120	0.9677	33.5204
CSDU [40] + CHF	0.9895	37.2223	0.9902	37.1560	0.9947	47.8200	0.9881	37.0544	0.9612	30.4155	0.9691	33.8235
AJTF [18] + CHF	0.9865	35.1333	0.9744	34.1137	0.9967	47.8452	0.9876	36.4653	0.9582	30.2524	0.9674	33.2741
AMF	0.9945	38.9374	0.9940	40.4719	0.9962	47.7070	0.9956	40.5725	0.9633	31.1112	0.9741	34.6881
AMF + RCR	0.9946	38.9546	0.9935	37.3574	0.9976	49.6378	0.9979	42.2108	0.9664	31.2685	0.9756	34.7168