For image enhancement, white vascular texture enhancement is the use of deep learning algorithms, super-resolution

SRCNN
SRCNN\Readme.txt
SRCNN\SRCNN.m
SRCNN\Set14
SRCNN\Set14\baboon.bmp
SRCNN\Set14\barbara.bmp
SRCNN\Set14\bridge.bmp
SRCNN\Set14\coastguard.bmp
SRCNN\Set14\comic.bmp
SRCNN\Set14\face.bmp
SRCNN\Set14\flowers.bmp
SRCNN\Set14\foreman.bmp
SRCNN\Set14\lenna.bmp
SRCNN\Set14\man.bmp
SRCNN\Set14\monarch.bmp
SRCNN\Set14\pepper.bmp
SRCNN\Set14\ppt3.bmp
SRCNN\Set14\zebra.bmp
SRCNN\Set5
SRCNN\Set5\baby_GT.bmp
SRCNN\Set5\bird_GT.bmp
SRCNN\Set5\butterfly_GT.bmp
SRCNN\Set5\head_GT.bmp
SRCNN\Set5\woman_GT.bmp
SRCNN\compute_psnr.m
SRCNN\demo_SR.m
SRCNN\modcrop.m
SRCNN\model
SRCNN\model\9-1-5(91 images)
SRCNN\model\9-1-5(91 images)\x2.mat
SRCNN\model\9-1-5(91 images)\x3.mat
SRCNN\model\9-1-5(91 images)\x4.mat
SRCNN\model\9-1-5(ImageNet)
SRCNN\model\9-1-5(ImageNet)\x3.mat
SRCNN\model\9-3-5(ImageNet)
SRCNN\model\9-3-5(ImageNet)\x3.mat
SRCNN\model\9-5-5(ImageNet)
SRCNN\model\9-5-5(ImageNet)\x2.mat
SRCNN\model\9-5-5(ImageNet)\x3.mat
SRCNN\model\9-5-5(ImageNet)\x4.mat
SRCNN\shave.m

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