A block-domain face super-resolution reconstruction method based on an adaptive training library
A super-resolution reconstruction and training library technology, applied in the field of image processing, can solve problems such as unsatisfactory effects, pixel destruction and aliasing, interference with super-resolution recovery results, etc.
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[0050] The block-domain face super-resolution method based on the self-adaptive training library provided by the present invention forms an self-adaptive training library for images block by block in a manifold-based framework, and screens the training information to obtain the most accurate correlation The highest training database information, thereby improving the objective quality and similarity of the recovery results. During specific implementation, computer software technology can be used to realize smooth automatic operation.
[0051] The present invention will be further described below with specific embodiments in conjunction with the accompanying drawings.
[0052] see figure 1 , the embodiment includes the following steps:
[0053] S1, obtain a high-resolution face image library Y s and the corresponding low-resolution face image library X s , high-resolution face image library Y s Align all high-resolution face images in position, low-resolution face image li...
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