Light field super-resolution three-dimensional reconstruction method and system
A 3D reconstruction and super-resolution technology, applied in neural learning methods, image analysis, 3D modeling, etc., can solve problems such as microscopic imaging of dynamic samples
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Embodiment 1
[0072] This embodiment provides a light field super-resolution three-dimensional reconstruction method, such as figure 1 As shown, the simulated high-resolution light field image is paired with the corresponding low-resolution light field image, and the paired high-resolution and low-resolution multi-view images are extracted, which are input into the convolutional neural network for training, and realized through network forward reasoning. Super-resolution of light field images, combined with light field 3D reconstruction network to obtain super-resolution 3D images, can perform high-resolution 3D imaging of dynamic samples. Include the following steps:
[0073] (1) Take the static sample as the target and obtain its high-resolution factual 3D data;
[0074] (2) Perform analog sampling on the high-resolution factual three-dimensional data obtained in step (1), and obtain low-resolution light field projections that match the light field imaging system hardware and high-resolu...
Embodiment 2
[0088] This embodiment provides a light field super-resolution three-dimensional reconstruction method, such as figure 1 As shown, the simulated high-resolution light field image is paired with the corresponding low-resolution light field image, and the paired high-resolution and low-resolution multi-view images are extracted, which are input into the convolutional neural network for training, and realized through network forward reasoning. Super-resolution of light field images, combined with light field 3D reconstruction network to obtain super-resolution 3D images. Include the following steps:
[0089] (1) Take the static sample as the target and obtain its high-resolution factual 3D data;
[0090] (2) Perform analog sampling on the high-resolution factual three-dimensional data obtained in step (1), and obtain low-resolution light field projections that match the light field imaging system hardware and high-resolution light field projections with target resolution;
[00...
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