Refactoring method for optimizing super resolution of facial images
A technology for super-resolution reconstruction and facial image, which is applied in the field of optimized super-resolution reconstruction of facial images, which can solve the problems of insufficient image precision and degradation of face recognition performance, and achieve high-precision reconstruction and suppress glitches Effect
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[0048] The present invention will be further described below in conjunction with embodiment:
[0049] Such as figure 1 As shown, the detailed calculation steps of an optimized face image super-resolution reconstruction method in the embodiment of the present invention are described as follows:
[0050] A method for optimizing face image super-resolution reconstruction, comprising the following steps:
[0051] Step 1), first take the input low-resolution face image I and K low-resolution reference face images I with the closest Euclidean distance to the input low-resolution face image I k (x), low-resolution reference face image I k (x) The image translated by p units by the affine translation operator is I k (x+p); Preferably, K=6 is used to ensure both reconstruction accuracy and calculation speed.
[0052] Step 2), input low-resolution face image I and K low-resolution reference face images I with the closest Euclidean distance to the input low-resolution face image I in...
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