Journal of Nanjing University(Natural Sciences)

Image super⁃resolution algorithm joint deep belief network and neighborhood regression

Weiqin Huang, Fengqiang Gao, Junren Chen, Chan Li

Journal of Nanjing University(Natural Sciences), 2019, 55(4): 581-591. DOI: 10.13232/j.cnki.jnju.2019.04.008

测试图像	PSNR/SSIM	Bicubic	L1SR	SISR	ANR	SRCNN	DBNNR
Baby	PSNR	33.91	34.29	35.08	35.13	35.01	35.26
Baby	SSIM	0.9244	0.9226	0.9402	0.9415	0.9401	0.9425
Brid	PSNR	32.58	34.11	34.57	34.60	34.91	34.95
Brid	SSIM	0.9422	0.9530	0.9615	0.9623	0.9623	0.9643
Head	PSNR	32.88	33.17	33.56	33.63	33.55	33.70
Head	SSIM	0.8386	0.8382	0.8572	0.8601	0.8581	0.8614
Barbara	PSNR	26.25	26.39	26.76	26.69	26.66	26.80
Barbara	SSIM	0.7813	0.7890	0.8081	0.8078	0.8076	0.8128
Face	PSNR	32.82	33.12	33.53	33.62	33.58	33.68
Face	SSIM	0.8374	0.8374	0.8567	0.8599	0.8583	0.8612
Foreman	PSNR	31.18	32.05	33.19	33.23	33.35	33.75
Foreman	SSIM	0.9231	0.9247	0.9426	0.9431	0.9442	0.9465
Ppt3	PSNR	23.71	24.98	25.23	25.03	25.32	25.56
Ppt3	SSIM	0.8874	0.9025	0.9204	0.9123	0.9274	0.9293
Zebra	PSNR	26.63	27.95	28.49	28.43	28.87	29.07
Zebra	SSIM	0.8361	0.8648	0.8775	0.8794	0.8826	0.8874
平均值	PSNR	30.00	30.76	31.30	31.30	31.40	31.60
平均值	SSIM	0.8713	0.8790	0.8955	0.8958	0.8976	0.9007

Table 1 PSNR and SSIM values corresponding to reconstructed images of different SR algorithms

Other figure/table from this article