Phase aliasing error removing method and device based on end-to-end convolutional neural network
A technology of convolutional neural network and aliasing error, which is applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problem of too large bandwidth of carrier wave added phase spectrum, achieve good universality and expand the measurement range Effect
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[0029] Such as figure 1 As shown, this end-to-end convolutional neural network-based phase aliasing error removal method includes the following steps:
[0030] (1) Aiming at the position randomness and scale randomness of aliasing error, design a multi-scale convolutional neural network;
[0031] (2) Use the computer to simulate the wide-spectrum phase interferogram, and based on the Fourier transform method or the digital Moire phase-shift method, the phase diagram containing the phase-spectrum aliasing error is obtained, which is consistent with the original wide-spectrum phase Figure 1 Same as the aliasing training set;
[0032] (3) Using aliasing training set to train multi-scale convolutional neural network;
[0033] (4) Use the trained multi-scale convolutional neural network to process the real phase image with phase spectrum aliasing error, and obtain high-precision phase dephasing results without phase spectrum aliasing error.
[0034] The multi-scale convolutiona...
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