A Variational Bayesian Superresolution Approach Using Adaptive Image Prior Model

Table 2

Comparisons of PSNR and SSIM with Gaussian blur and white Gaussian noise with SNR = 1 dB and SNR = 5 dB.

	SNR		Bicubic	SAR	1	TV	BEP	Ours
Zebra	1 dB	PSNR	18.97	21.44	21.00	21.06	21.46	22.04
		SSIM	0.6072	0.7053	0.6733	0.6742	0.7108	0.7255
	5 dB	PSNR	19.08	22.90	23.12	23.95	22.74	24.41
		SSIM	0.6072	0.8012	0.7977	0.8173	0.7197	0.8236
Car	1 dB	PSNR	26.56	30.27	29.40	29.43	30.41	31.45
		SSIM	0.7511	0.8417	0.7771	0.7956	0.8573	0.8660
	5 dB	PSNR	26.77	32.86	33.06	33.61	32.16	34.64
		SSIM	0.7512	0.8930	0.8869	0.9021	0.6576	0.9288