A Variational Bayesian Superresolution Approach Using Adaptive Image Prior Model

Table 3

Comparisons of PSNR and SSIM with average blur and white Gaussian noise with SNR = 10 dB and SNR = 30 dB.

	SNR		Bicubic	SAR	1	TV	BEP	Ours
Zebra	10 dB	PSNR	19.22	23.73	26.41	25.62	25.81	26.90
		SSIM	0.6745	0.8247	0.8420	0.8360	0.8102	0.8766
	30 dB	PSNR	19.23	37.09	42.88	41.17	43.34	43.87
		SSIM	0.6768	0.9207	0.9252	0.8744	0.9261	0.9413
Car	10 dB	PSNR	26.45	34.51	35.95	35.96	34.98	36.32
		SSIM	0.7690	0.8898	0.8857	0.8866	0.8816	0.9197
	30 dB	PSNR	26.45	38.73	40.29	39.81	44.78	48.74
		SSIM	0.7710	0.9036	0.9160	0.9169	0.9288	0.9461