Adversarial convolutional neural network model, OCT image reconstruction algorithm and storage medium
The invention discloses an adversarial convolutional neural network model, an OCT image reconstruction algorithm and a storage medium, the adversarial convolutional neural network model comprises a generator and a discriminator, the generator comprises a frequency domain image feature extraction mod...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses an adversarial convolutional neural network model, an OCT image reconstruction algorithm and a storage medium, the adversarial convolutional neural network model comprises a generator and a discriminator, the generator comprises a frequency domain image feature extraction module and an up-sampling super-resolution reconstruction module, the frequency domain image feature extraction module converts an input spatial domain image into a complex frequency domain image, and the up-sampling super-resolution reconstruction module performs up-sampling super-resolution reconstruction on the complex frequency domain image; the frequency domain image feature extraction module is used for extracting the frequency domain image feature, low-resolution image frequency spectrum feature extraction is achieved through frequency spectrum translation so as to extract important information of an image frequency domain, the up-sampling super-resolution reconstruction module carries out up-sampling on an ima |
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