Self-Similarity Superresolution for Resource-Constrained Image Sensor Node in Wireless Sensor Networks

Table 2

Comparison results of different SR methods.

Image	Downsampling matrix	Measures	Methods
			Bicubic	Yang et al. [24]	Dong et al. [25]	Proposed
Lena	Blur	PSNR (dB)	34.8671	35.7477	35.46	35.8
		SSIM	0.8538	0.8586	0.9067	0.9237
	Direct	PSNR (dB)	30.964	29.0875		33.8206
		SSIM	0.7873	0.7322		0.8098
Plane	Blur	PSNR (dB)	32.6525	33.5788	34.05	34.9828
		SSIM	0.9341	0.9369	0.9487	0.9629
	Direct	PSNR (dB)	28.8573	27.5349		31.5616
		SSIM	0.8985	0.8525		0.9141
Pepper	Blur	PSNR (dB)	33.0847	33.8412	34.92	35.6808
		SSIM	0.8382	0.8474	0.9028	0.9173
	Direct	PSNR (dB)	29.7824	28.3943		33.2525
		SSIM	0.7712	0.7229		0.7754
Sailboat	Blur	PSNR (dB)	31.065	31.6411	32.05	32.1125
		SSIM	0.8143	0.8294	0.8826	0.8979
	Direct	PSNR (dB)	27.7443	26.0675		30.0478
		SSIM	0.7537	0.6893		0.756
Baboon	Blur	PSNR (dB)	25.0694	25.0966	25.13	25.4071
		SSIM	0.7068	0.7388	0.7375	0.7479
	Direct	PSNR (dB)	22.661	20.5052		23.6535
		SSIM	0.611	0.5595		0.6217