Near-infrared face image super-resolution reconstruction method based on deep learning
A technology of super-resolution reconstruction and face image, which is applied in the field of computer image super-resolution, can solve the problem of not being able to capture the detailed information of the face and face, and achieve the effect of improving the reconstruction effect and improving the effect of face reconstruction
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[0056] Such as Figure 1-5 As shown in one of them, the present invention discloses a method for super-resolution reconstruction of near-infrared face images based on deep learning, which includes the following steps:
[0057] Step 1, using the relative positions of the two eyes in the face image to align all the face images in the original near-infrared face image; further, the original near-infrared face image in the step 1 uses a near-infrared supplementary light device capture.
[0058] Step 2, convert the face training set obtained after alignment to a fixed ratio to obtain a training image containing K M×N super-resolution face images Where M and N are the width and height of the face image respectively, and the index i=1, 2, ..., K; further, the fixed ratio in step 2 is converted into M×N where M×N is 128×128.
[0059] Step 3, the super-resolution face image training graph Each image in S is used to generate its one-to-one corresponding K low-resolution face image ...
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