A Variational Bayesian Superresolution Approach Using Adaptive Image Prior Model

Table 1

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

	SNR		Bicubic	SAR	1	TV	BEP	Ours
Zebra	1 dB	PSNR	18.51	21.15	21.62	20.24	21.72	22.27
		SSIM	0.5645	0.6894	0.6780	0.6410	0.6953	0.7086
	5 dB	PSNR	18.63	22.39	22.63	22.29	22.70	24.06
		SSIM	0.5645	0.7858	0.7889	0.7840	0.7905	0.8020
Car	1 dB	PSNR	26.20	30.33	28.27	28.48	29.93	30.73
		SSIM	0.7369	0.8365	0.7601	0.7697	0.8025	0.8563
	5 dB	PSNR	26.20	32.27	30.35	32.57	31.57	33.03
		SSIM	0.7370	0.8938	0.8640	0.8957	0.8475	0.9121