文件列表:

SRCNN.m (1502, 2018-06-25)
Set14 (0, 2018-06-25)
Set14\baboon.bmp (720054, 2018-06-25)
Set14\barbara.bmp (1244214, 2018-06-25)
Set14\bridge.bmp (263222, 2018-06-25)
Set14\coastguard.bmp (304182, 2018-06-25)
Set14\comic.bmp (271526, 2018-06-25)
Set14\face.bmp (228584, 2018-06-25)
Set14\flowers.bmp (543054, 2018-06-25)
Set14\foreman.bmp (304182, 2018-06-25)
Set14\lenna.bmp (786486, 2018-06-25)
Set14\man.bmp (786486, 2018-06-25)
Set14\monarch.bmp (1179702, 2018-06-25)
Set14\pepper.bmp (786486, 2018-06-25)
Set14\ppt3.bmp (1041782, 2018-06-25)
Set14\zebra.bmp (688214, 2018-06-25)
Set5 (0, 2018-06-25)
Set5\baby_GT.bmp (786486, 2018-06-25)
Set5\bird_GT.bmp (248886, 2018-06-25)
Set5\butterfly_GT.bmp (196730, 2018-06-25)
Set5\head_GT.bmp (235254, 2018-06-25)
Set5\woman_GT.bmp (235350, 2018-06-25)
compute_psnr.m (314, 2018-06-25)
demo_SR.m (2137, 2018-06-25)
modcrop.m (279, 2018-06-25)
model (0, 2018-06-25)
model\9-1-5(91 images) (0, 2018-06-25)
model\9-1-5(91 images)\x2.mat (38625, 2018-06-25)
model\9-1-5(91 images)\x3.mat (38483, 2018-06-25)
model\9-1-5(91 images)\x4.mat (38489, 2018-06-25)
model\9-1-5(ImageNet) (0, 2018-06-25)
model\9-1-5(ImageNet)\x3.mat (38350, 2018-06-25)
model\9-3-5(ImageNet) (0, 2018-06-25)
model\9-3-5(ImageNet)\x3.mat (115087, 2018-06-25)
model\9-5-5(ImageNet) (0, 2018-06-25)
model\9-5-5(ImageNet)\x2.mat (268933, 2018-06-25)
... ...

# SRCNN Test This is an implements from: C. Dong, C. C. Loy, K. He, and X. Tang, “Learning a deep convolu- tional network for image super-resolution,” in European Conference on Computer Vision, 2014, pp. 184–199.

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