A Novel Face Super-Resolution Method Based on Parallel Imaging and OpenVINO

Table 1

Comparison of face super-resolution methods’ results on FERET database.

Methods	PSNR (dB)	SSIM
LLT [12]	26.3577	0.8864
WSR [34]	31.9449	0.8954
Bicubic [35]	24.7071	0.8622
MSR [11]	31.9216	0.8987
Yang’s [10]	29.0257	0.8579
Glanser’s [36]	24.7513	0.8246
DPSR [37]	29.5572	0.8743
SRCNN [16]	30.3913	0.8832
SRAHF [38]	30.1527	0.8792
LcR [13]	32.3186	0.9032
CDA [39]	32.2249	0.9011
Wang’s [40]	31.3323	0.8893
NE [14]	31.1459	0.8794
SR [10]	31.2309	0.8798
SSR [41]	32.5439	0.9074
Ours	31.6786	0.9085